Elja Arjas

Publications (1969 - )

2023

• O. Saarela & C. Rohrbeck & E. Arjas: Bayesian non-parametric ordinal regression under a monotonicity constraint. Bayesian Anal.  18 (1): 193-221. DOI: 10.1214/22-BA1310
• V. Vitelli & T. Fleischer & J. Ankill & E. Arjas & A. Frigessi & V. N. Kristensen & M.Zucknick: Transcriptomic pan‐cancer analysis using rank‐based Bayesian inference. Molecular Oncology  17 (4), 548-563. doi:
  10.1002/1878-0261.13354
• P. Pere & J. Alho & E. Arjas & J. Karvanen & L. Leskelä & E. Läärä: Tilastotieteen sanasto. Verkkoversio, hakukone. https://sanasto.tilastoseura.fi
  
• E. Arjas & D. Gasbarra: Towards reaching a consensus in Bayesian trial designs: the case of 2-arm trials. arXiv preprint arXiv: 2312.15222

2022

• https://scholar.google.com/citations?view_op=view_citation&hl=en&user=7JKyzUQAAAAJ&pagesize=80&sortby=pubdate&citation_for_view=7JKyzUQAAAAJ:sJsF-0ZLhtgCE. Arjas & D. Gasbarra: Adaptive treatment allocation and selection in multi-arm clinical trials: a Bayesian perspective. BMC Med. Res. Meth. (2022) 22:50: 1-18. https://doi.org/10.1186/s12874-022-01526-8.  

2021

• https://scholar.google.com/citations?view_op=view_citation&hl=en&user=7JKyzUQAAAAJ&pagesize=80&sortby=pubdate&citation_for_view=7JKyzUQAAAAJ:sJsF-0ZLhtgCJ. Alho & E. Arjas & E. Läärä & P. Pere: Tilastotieteen sanasto. Suomen Tilastoseuran julkaisuja 8. Suomen Tilastoseura r.y. (2021), Helsinki. 
  

2020

• O. Saarela & C. Rohrbeck & E. Arjas: Bayesian non-parametric ordinal regression under a monotonicity constraint. arXiv preprint arXiv: 2007.01390. 

2019

• M. Crispino & E. Arjas & V. Vitelli & N. Barrett & A. Frigessi: A Bayesian Mallows approach to non-transitive pair comparison data: how human are sounds?  Ann. Appl. Stat. 13 (1): 492-519. doi: 10.1214/18-AOAS1203
  
• E. Arjas & D. Gasbarra: Applying Bayesian modelling and inference for multiple change point detection: two case studies. Manuscript.

2018

• V. Vitelli & Ø. Sørensen & M. Crispino & A. Frigessi & E. Arjas: Probabilistic preference learning with the Mallows rank model. J. Machine Learning Res. 18 (2018), 1-49.

2017

• D. Asfaw & V. Vitelli & Ø. Sørensen & E. Arjas & A. Frigessi: Time-varying rankings with the Bayesian Mallows model. Stat 6 (1): 14-30. doi: 10.1002/sta4.132

2016

• T. Härkänen & E. Arjas & M. A. Laaksonen & O. Lindfors & J. Haukka & P. Knekt: Estimating efficacy in the presence of non-ignorable non-trial interventions in the Helsinki Psychotherapy Study. Statistical Methods in Medical Research 25 (2): 885-901. doi: 10.1177/0962280212473348. pdf
• S. Mäntyniemi & A. Romakkaniemi & E. Arjas: Bayesian Estimation of the number of individuals in a sample with a known weight. J. Aquac. Mar. Biol. 4 (5): 00095. doi: 10.15406/jamb.2016.04.00095
• E. Arjas: How about wearing two hats, first Popper’s and then de Finetti’s? Comment on the paper "Filtering and tracking survival propensity (Reconsidering the Foundations of Reliability)” by N. D. Singpurwalla. Stat. Sci. 31 (4): 545-548. doi: 10.1214/16-STS577
• A. Jääskeläinen & J. Kausto & J. Seitsamo & A. Ojajärvi & C.-H. Nygård & E. Arjas & P. Leino-Arjas: Work ability index and perceived work ability as predictors of disability pension: a prospective study among Finnish municipal employees. Scand. J. Work Environ. Health 42 (6): 490-499. doi: 10.5271/sjweh.3598

2015

• O. Saarela & E. Arjas: Non-parametric Bayesian hazard regression for chronic disease risk assessment. Scand. J. Statistics 42: 609-626. doi: 10.1111/sjos.12125.
• D. Gasbarra & E. Arjas & A. Vehtari & R. Slama & N. Keiding: The current duration design for estimating the time to pregnancy distribution: a nonparametric Bayesian perspective. Lifetime Data Analysis 21 (4): 594-625. doi: 10.1007/s10985-015-9333-0.
• O. Saarela & E. Arjas & D. Stephens & E. Moodie: Predictive Bayesian inference and dynamic treatment regimes. Biometrical Journal 57 (6): 941-958. doi: 10.1002/bimj.201400153.
• E. Arjas: When we were very young: Some recollections from Hannu Oja's first years of academic life. Book chapter in 'Modern Nonparametric, Robust and Multivariate Methods' (Klaus Nordhausen and Sara Taskinen, Eds.), Springer, pp.3-6.

2014

• E. Arjas: Time to consider time, and time to predict? Statistics in Biosciences 6 (2): 189-203. doi: 10.1007/s12561-013-9101-1. manuscript , Table 1.
• D. Gasbarra & E. Arjas: Contribution to the discussion of the paper "Multiscale changepoint inference" by K. Frick et al., J. Royal Statist. Soc., Ser. B 76 (2014): 555.
• M. Bhattacharjee & E. Arjas: Modelling and analysis of time in-homogeneous recurrent event processes in a heterogeneous population: a case study of HRTs. arXiv: 1411.4846.
• Ø. Sørensen & V. Vitelli & A. Frigessi & E. Arjas: Bayesian inference from rank data. arXiv: 1405: 7945.

2013

• E. Arjas: Dennis Lindley 90, an appreciation. Book chapter in 'A Book for Dennis' (Tony O'Hagan, Ed.), Blurb. doc

2012

• E. Arjas: Causal inference from observational data: a Bayesian predictive approach. Book chapter in 'Causality: Statistical Perspectives and Applications' (C. Berzuini, A. P. Dawid, L. Bernardinelli, Eds.), Wiley, pp. 71-84. ISBN: 978-0-470-66556-5. pdf
• E. Arjas: Probability. Book chapter in 'Selected Works of Terry Speed' (Sandrine Dudoit, Ed.), Springer, pp. 39-43. pdf
• E. Arjas: Contribution to the discussion of the paper "Statistical methods for healthcare regulation: rating, screening, and surveillance" by D. Spiegelhalter et al., J. Royal Statist. Soc., Ser. A 175 (2012): 32.

• P. Onkamo & J. Kammonen & P. Pesonen & T. Sundell & E. Moltchanova & M. Oinonen & M. Haimila & E. Arjas: Bayesian spatiotemporal analysis of radiocarbon dates from Eastern Fennoscandia. Radiocarbon 54, No. 3-4, 649-659.                                                                                  

2011

• O. Saarela & E. Arjas: A method for Bayesian monotonic multiple regression. Scand. J. Statistics 38 (2011): 499-513. doi/10.1111/j.1467-9469.2010.00716.x pdf
• E. Arjas: On future directions in statistical methodologies - some speculations. Scand. J. Statistics 38 (2011):185-194. doi: 10.1111/j.1467-9469.2011.00737. pdf
• E. Arjas: Mistä tulet, tilastotiede - ja minne menet? Suomen Tilastoseuran vuosikirja 2010: 5-14. (ISSN 0355-5941).
• R. Moroni & D. Gasbarra & E. Arjas & M. Lukka & I. Ulmanen: Effects of reference population and number of STR markers on positive evidence in paternity testing. J. Forensic Res. 2 (2011): Article 119. doi:10.4172/2157-7145.1000119
• O. Saarela & E. Arjas: On non-parametric Bayesian regression in cardiovascular disease risk assessment. In JSM Proceedings, Section on Statistics in Epidemiology. Alexandria, VA: American Statistical Association, pp. 3192-3204. pdf

2010

• R. Gupta & D. Greco & P. Auvinen & E. Arjas: Bayesian integrated modeling of expression data: a case study on RhoG. BMC Bioinformatics 11 (295). doi: 10.1186/1471-2105-11-295.
• E. Arjas & O. Saarela: Optimal Dynamic Regimes: Presenting a Case for Predictive Inference. The International Journal of Biostatistics 6 (2), Article 10. doi:10.2202/1557-4679.1204. pdf
• S. V. Henriksson & E. Arjas &M. Laine & J. Tamminen & A. Laaksonen: Comment on "Using multiple observationally-based constraints to estimate climate sensitivity" by J. D. Annan and J. C. Hargreaves, Geophys. Res. Lett., 2006. Clim. Past 6, 411-414, doi:10.5194/cp-6-411-2010.

2009

• J. Pitkäniemi & S.-L. Varvio & J. Corander & N. Lehti & J. Partanen & E. Tuomilehto-Wolf & J. Tuomilehto & A. Thomas & E. Arjas: Analysis of genetic risk with variable age at onset disease - combining population-based registry data and demographic information. PLoS One 4 (8):e6836.
• S.-L.Varvio & K. Auranen & E. Arjas & P.H. Mäkelä: Evolution of the capsular regulatory genes in Streptococcus pneumoniae. J Infect Dis 200 (7):1144-51. pdf
• D. Gasbarra & M. Pirinen &, M. J. Sillanpää & E. Arjas: Bayesian quantitative trait locus mapping based on reconstruction of recent genetic histories. Genetics 183 (2): 709-21. doi: 10.1534/genetics.109.104190. pdf

2008

• O. Ovaskainen & H. Rekola & E. Meyke & E. Arjas: Bayesian methods for analyzing movements in heterogeneous landscapes from mark-recapture data. Ecology 89 (2008): 542-554. pdf
• J. Corander & J. Siren & E. Arjas: Bayesian spatial modelling of genetic population structure. Computational Statistics 23 (2008): 111-129. pdf
• R. Gupta & E. Arjas & S. Kulathinal & P. Auvinen: Bayesian hierarchical model for estimating gene expression intensity. EURASIP J Bioinform Systems Biol 2008, Article ID 231950, 11 pages. doi:10.1155/2008/231950
• O. Saarela & S. Kulathinal & E. Arjas & E. Läärä:. Nested case-control data utilised for multiple outcomes: a likelihood approach and alternatives. Statistics in Medicine 27: 5991  -  6008. pdf       
• J. Kohonen & S. Talikota & J. Corander & P. Auvinen & E. Arjas: A naive Bayes classifier for protein function prediction. In Silico Biology 9, Article 0003. pdf
• J. Rousu & E. Arjas: Tutkintojärjestelmän uudistus jäänyt Suomessa puolitiehen. (Column) Helsingin Sanomat, February 24, 2008. (In Finnish)

2007

• D. Gasbarra & M. Pirinen & M. J. Sillanpää & E. Salmela & E. Arjas: Estimating genealogies from unlinked marker data: a Bayesian approach. Theoretical Population Biology 72 (2007): 305-322. pdf
• D. Gasbarra & M. Pirinen & M. J. Sillanpää & E. Arjas: Estimating genealogies from linked marker data: a Bayesian approach. BMC Bioinformatics 8: 411. pdf
• T. Snäll, R.B. O´Hara & E. Arjas: A mathematical and statistical framework for modeling dispersal. Oikos 116: 1036-1050. pdf

2006

• R. Gupta & P. Auvinen & A. Thomas & E. Arjas: Bayesian hierarchical model for correcting signal saturation in microarrays using pixel intensities. Statistical Applications in Genetics and Molecular Biology 5, Article 20. pdf
• S. Kulathinal & E. Arjas: Bayesian inference from case-cohort data with multiple end-points. Scandinavian Journal of Statistics 33: 25 - 36. pdf

2005

• D. Gasbarra & M. J. Sillanpää & E. Arjas: Backward simulation of ancestors of sampled individuals. Theoretical Population Biology 67 (2005): 75 - 83. pdf
• S. Mäntyniemi & A. Romakkaniemi & E. Arjas: Bayesian removal estimation of a population size under unequal catchability. Can. J. Fish. Aquat. Sci. 62 (2005): 291 - 300. pdf
• M. Bhattacharjee & E. Arjas: Modelling and analysis of time inhomogeneous recurrent event processes in heterogeneous population: a case study of HRTs. Internal Research Report for Schering (2005), 27 pp.
• E. Arjas: Olli Lokki (1916 – 1994). Article in the Finnish National Biography (Kansallisbiografia), Biografiakeskus, Suomalaisen Kirjallisuuden Seura (2005). (In Finnish.)

2004

• J. Ranta & P. H. Mäkelä & E. Arjas: Predicting meningococcal disease in structured populations. Statistics in Medicine 23 (2004): 927-945. pdf
• T. Härkänen & E. Arjas: Tumor incidence, prevalence and lethality estimation in absence of cause-of-death information. Applied Statistics 53 (2004): 601-617. pdf
• E. Arjas & J. Parner: Causal reasoning from longitudinal data. Scandinavian Journal of Statistics 31 (2004): 171-201 (with a discussion by S.L. Lauritzen and O.O. Aalen and replies by D.B. Rubin and E. Arjas).pdf, pdf
• P. Onkamo & J. Pitkäniemi & E. Tuomilehto-Wolf & J. Tuomilehto & E. Arjas: Increasing incidence of type I diabetes: a role for genes? BMC Genetics 5: 5. doi:10.1186/1471-2156-5-5
• M. Bhattacharjee & C.C. Pritchard & P.S.Nelson & E. Arjas: Bayesian integrated functional analysis of microarray data. Bioinformatics 20: 2943 - 2953. pdf
• M.J. Sillanpää & D. Gasbarra & E. Arjas: Comment on the paper ``On the Metropolis- Hastings acceptance probability to add or drop a QTL in MCMC-based Bayesian analyses''. Genetics 167: 1037. pdf
• E. Arjas: Epävarmuutta ei pidä kieltää. (Column) Ympäristö 4/2004: 36 (In Finnish)

2003

• T. Härkänen & H. Hausen & J. Virtanen & E. Arjas: A non-parametric frailty model for temporally clustered multivariate failure times. Scandinavian Journal of Statistics 30: 523-533. pdf
• M. Bhattacharjee & C. Pritchard & M. J. Sillanpää & E. Arjas: Bayesian characterization of natural variation in gene expression. In "Methods of Microarray Data Analysis III" (K. F. Johnson, S. M. Lin, Eds.) Kluwer, Boston: 155-172. pdf
• M. Bhattacharjee & E. Arjas: Modelling heterogeneity in repeated faulure time data: a hierarchical Bayesian approach. In "Mathematical Reliability: An Expository Perspective" (R. Soyer, T.A. Mazzuchi, N.D. Singpurwalla, Eds.) Kluwer, Boston: 71-86. pdf
• E. Arjas: Causality and statistics. Commentary (invited) on the chapter "Causal inference using influence diagrams: the problem of partial compiance" by A.P. Dawid. In "Highly Structured Stochastic Systems" (P. Green, Nils Hjort, S. Richardson, Eds.) Oxford University Press: 66-69.
• E. Arjas: Contribution (invited, as the proposer) to the discussion of the paper "Optimal dynamic treatment regimes" by S. A. Murphy. J. Royal Statist. Soc., Ser. B. 65: 355-356.

2002

• T. Härkänen & M.A. Larmas & J.I. Virtanen & E. Arjas: Applying modern survival analysis methods to longitudinal dental caries studies. Journal of Dental Research 81: 144-148. pdf
• R. B. O'Hara & E. Arjas & H. Toivonen & I. Hanski: Bayesian analysis of metapopulation data. Ecology 83: 2408-2415. pdf
• E. Arjas: Predictive inference and discontinuities. Nonparametric Statistics 14: 31-42. pdf
• M. Bhattacharjee & E. Arjas & U. Pulkkinen: Modelling heterogeneity in nuclear power plant valve failure data. In "Mathematical and Statistical Methods in Reliability" (B. H. Lindqvist, K. A. Doksum, Eds.) World Scientific: 341-353. pdf
• E. Arjas: Contribution (invited) to the discussion on the paper "Statistical issues in fisheries' stock assessment" by S. Gavaris and J. N. Ianelli. Scandinavian J. of Statistics 29: 268- 269. pdf

2001

• E. Arjas: Causal analysis and statistics: a social sciences perspective. European Sociological Review 17: 59-64. pdf
• . Maliepaard & M. J. Sillanpää & J. Van Ooijen & R.C. Jansen & E. Arjas: Bayesian versus frequentist analysis of multiple quantitative trait loci with an application to an outbred apple cross. Theoretical and Applied Genetics 103: 1243-1253. pdf
• M. Similä & E. Arjas & M. Mäkynen & M. Hallikainen: Bayesian classification model for sea ice roughness from scatterometer data. IEEE Transactions on Geoscience and Remote Sensing 39: 1586-1595. pdf
• J. Ranta & T. Hovi & E. Arjas: Poliovirus surveillance by examining sewage water specimens; studies on detection probability using simulation models. Risk Analysis 21: 1087-1096. pdf
• E. Arjas: Longitudinal data: Event history analysis in discrete time. Entry in "International Encyclopedia of the Social and Behavioral Sciences". Elsevier (2001): 9063-9067.
• M.J. Sillanpää & E. Arjas: Statistical methods for the genetic mapping of complex traits. In "CSC Report on Scientific Computing 1999-2000". (S. Kotila and J. Haataja, Eds.), Scientific Computing Ltd.

2000

• T. Härkänen & J. Virtanen & E. Arjas: Caries on permanent teeth: a nonparametric Bayesian analysis. Scandinavian Journal of Statistics 27: 577-588. pdf
• E. Arjas & A. Andreev: Predictive inference, causal reasoning, and model assessment in nonparametric Bayesian analysis: a case study. Lifetime Data Analysis 6:187-205. pdf
• J. Pitkäniemi & P. Onkamo & E. Arjas & E. Tuomilehto-Wolf & J. Tuomilehto: Estimation of transmission probabilities in families ascertained trough a proband with variable age-at-onset disease: application to the HLA A, B and DR loci in Finnish families with type 1 diabetes. Human Heredity 50: 308-317. pdf
• P. Hurme & M. J. Sillanpää & E. Arjas & C. Vogl & T. Repo & O. Savolainen: Adaptation in Scots pine is based on alleles with large effect on bud set date and frost hardiness. Genetics 156: 1309-1322. pdf
• K. Auranen, E. Arjas, T. Leino & A. K. Takala: Transmission of pneumococcal carriage in families: a latent Markov process model for binary longitudinal data. J. Amer. Statist. Assoc. 95: 1044-1053. pdf

1999

• J. Heikkinen & E. Arjas: Modeling a Poisson Forest in Variable Elevations: a Nonparametric Bayesian Approach. Biometrics 55: 738-745. pdf
• M.J. Sillanpää & E. Arjas: Bayesian mapping of multiple quantitative trait loci from incomplete outbred offspring data. Genetics 151: 1605-1619. pdf
• K. Auranen & M. Eichner & H. Käyhty & A.K. Takala & E. Arjas: A hierarchical Bayesian model to predict the duration of immunity to Hib. Biometrics 55: 168-174. pdf
• J. Ranta & P.H. Mäkelä & A. Takala & E. Arjas: Predicting the course of meningococcal disease outbreaks in closed subpopulations. Epidemiology and Infection 123: 359-371. pdf
• E. Arjas: Probabilistic token causation: A Bayesian perspective. In "Applied Probability and Stochastic processes" (J.G. Shanthikumar, U. Sumita, Eds.) Kluwer, Dordrecht (1999): 63-72. pdf
• E. Arjas: Contribution (invited) to the discussion on the paper "Inference tools for complex computer codes" by A. O'Hagan, M.C. Kennedy and J.E. Oakley. In "Bayesian Statistics 6", (J.M. Bernardo, J.O. Berger, A.P. Dawid, A.F.M. Smith, Eds.) Clarendon Press, Oxford (1999): 520.
• J. Parner & E. Arjas: Causal reasoning from longitudinal data. Research Report A 27, Rolf Nevanlinna Institute, Helsinki. PDF

1998

• M.J. Sillanpää & E. Arjas: Bayesian mapping of multiple quantitative trait loci from incomplete inbred line cross data. Genetics 148: 1373-1388. pdf
• J. Heikkinen & E. Arjas: Nonparametric Bayesian estimation of a spatial Poisson intensity. Scandinavian Journal of Statistics 25: 435-450. pdf
• A. Andreev & E. Arjas: Acute middle ear infection in small children: a Bayesian analysis using multiple time scales. Lifetime Data Analysis 4: 121-137. pdf
• M. Virtala & S. Kuikka & E. Arjas: Stochastic virtual population analysis. ICES Journal of Marine Sciences 55: 892-904. pdf
• S.R. Karia & J. Toivonen & E. Arjas: Analysis of contraceptive failure data in IUD studies: modern competing risks approach. Contraception 58: 361-374. pdf
• L. Liu & E. Arjas: A Bayesian model for fatigue crack growth. In "Practical Nonparametric and Semiparametric Bayesian Statistics", (D. Dey, P. Müller, D. Sinha, Eds.) Springer, New York (1998): 339-353. pdf
• E. Arjas: The real time approach. Entry in "Encyclopedia in Biostatistics", (P. Armitage, T. Colton, Eds.), Wiley (1998): 3737--3738.
• E. Arjas: Tilastolliset menetelmät - palvelus vai karhunpalvelus? (Editorial) Kansanterveys 4/1998: 1. (In Finnish.) pdf
• E. Arjas: Biometrikko - elämän mittamies. Arkhimedes 1998: 25 - 29. (In Finnish.)
• E. Arjas: Mitä on biometria? In "Oppituoli 1998", (S. Lehtinen, Ed.), Painotalo Auranen, Forssa (1998): 4-9. (In Finnish.) pdf

1997

• E. Arjas & D. Gasbarra: On prequential model assessment in life history analysis. Biometrika 84: 505-522. pdf
• E. Arjas & J. Heikkinen: An algorithm for nonparametric Bayesian estimation of a Poisson intensity. Computational Statistics 12: 385-402. pdf
• E. Arjas & L. Liu & N. Maglaperidze: Prediction of growth: a hierarchical Bayesian approach. Biometrical Journal 39: 741-759. pdf

1996

• E. Arjas & D. Gasbarra: Bayesian inference of survival probabilities, under stochastic ordering constraints. J. Amer. Statist. Assoc. 91: 1101 - 1109. pdf
• E. Arjas & L. Liu: Nonparametric Bayesian approach to hazard regression: a case study involving a large number of missing covariate values. Statistics in Medicine 15:  1757-1770. pdf
• K. Auranen & J. Ranta & A. Takala & E. Arjas: A statistical model of transmission of Hib bacteria in a family. Statistics in Medicine 15: 2235 - 2252. pdf
• S.Haastrup & E. Arjas: Claims reserving in continuous time;  a nonparametric  Bayesian approach. A.S.T.I.N. Bulletin 26: 139 - 164. pdf
• A. Andreev & E. Arjas: A note on histogram approximation in Bayesian density estimation. In ”Bayesian Statistics 5”,  (J.M. Bernardo, J.O. Berger, A.P. Dawid, A.F.M. Smith, Eds.) Clarendon Press, Oxford (1996): 487 - 490.
• E. Arjas: Contribution (invited) to the discussion on the paper "Bayesian histograms" by J.A. Hartigan. In ”Bayesian Statistics 5”, (J.M. Bernardo, J.O. Berger, A.P. Dawid, A.F.M. Smith, Eds.) Clarendon Press, Oxford (1996): 221-222
• E. Arjas: Prequential model assessment and martingales. In “The Proceedings of  The First Ukrainian-Scandinavian Conference on Stochastic Dynamical Systems: Theory and Applications”, (O. Klesov, V. Korolyuk, G. Kulldorff, D. Silverstrov, Eds.), Theory of Stochastic Processes 2 (18): 44 - 48.
• E. Arjas & H. Mannila & M. Salmenkivi & R. Suramo & H. Toivonen: BASS: A Bayesian analyzer of event sequences. In “COMPSTAT Proceedings in Computational Statistics”, (Albert Prat, Ed.), Physica Verlag: 199 - 204.

1995

• E. Arjas & L. Liu: Assessing the losses caused by an industrial intervention: a hierarchical Bayesian approach. Applied Statistics 44: 357 - 368. pdf
• E. Arjas & J.Holmberg: Marked point process framework for living PSA and  risk follow-up. Reliability Engineering and System Safety 49: 59 - 73. pdf

1994

• E. Arjas & D. Gasbarra: Nonparametric Bayesian inference from right censored survival data, using the Gibbs sampler. Statistica Sinica 4: 505 - 524. pdf

1993

• E. Arjas & M. Eerola: On predictive causality in longitudinal studies. Journal of Statistical Planning and Inference 34: 361 - 386. pdf
• E. Arjas & D. Gasbarra: On Monte Carlo methods in Bayes estimation of survival models. In: Proceedings of "Conference on Statistical Inference and Biostatistics", (D. Sprott, Ed.), CIMAT, Guanajuato (1993): 165 - 177.
• E. Arjas: Information and reliability: A Bayesian perspective. In "Reliability and Decision Making", (R.E. Barlow, C.A. Clarotti, F. Spizzichino, Eds.) Chapman and Hall (1993): 115 - 135.

1992

• E. Arjas & P. Haara & I. Norros: On filtering the histories of a partially observed marked point process. Stochastic Processes and their Applications 40: 225 - 250. pdf
• E. Arjas & P. Haara: Observation scheme and likelihood. Scandinavian Journal of Statistics 19: 111 - 132. pdf
• E. Arjas & P. Kangas: A discrete time method for the analysis of event histories. In "Demographic Applications of Event History Analysis", (J. Trussell, R. Hankinson, J. Tilton, Eds.) Oxford University Press (1992): 253 - 266.
• E. Arjas & P. Haara: Periodic inspections in a longitudinal study: viewing occult tumors through a filter. (With discussion.) In "Survival Analysis: State of the Art", (J.P. Klein, P.K. Goel, Eds.) Kluwer, Dordrecht (1992): 329 - 344.

1991

• E. Arjas & C.K. Hansen & P. Thyregod: Heterogeneous part quality as a source of reliability improvement in repairable systems. Technometrics 33: 1 - 12. pdf
• E. Arjas & I. Norros: Stochastic order and martingale dynamics in multivariate life length models: a review. In "Stochastic Orders and Decision under Risk", (K. Mosler, M. Scarsini, Eds.) The Institute of Mathematical Statistics, Lecture Notes - Monograph Series 19: 7 - 24.
• E. Arjas: Tilastotiede ja matematiikka. (Statistics and mathematics). The Finnish Statistical Society 70 years. Publication no 7 of the Finnish Statistical Society, Helsinki (1991), 147 – 165. (In Finnish.)

1990

• E. Arjas & I. Norros: Should minimal repair depend on information? In "Topics in Statistical Dependence", (H.W. Block, A.R. Sampson and T.H. Savits, Eds.) The Institute of Mathematical Statistics, Lecture Notes - Monograph Series 16: 5 - 12.

1989

• E. Arjas & I. Norros: Change of life distribution via a hazard transformation: an inequality with application to minimal repair. Mathematics of Operations Research  14: 355 - 361.pdf
• E. Arjas: Survival models and martingale dynamics. (With discussion.) Scandinavian Journal of Statistics 16: 177 - 225.pdf
• E. Arjas: The claims reserving problem in non-life insurance: some structural ideas. A.S.T.I.N. Bulletin 19: 139 - 152. pdf

1988

• E. Arjas & P. Haara: A note on the exponentiality of total hazards before failure. Journal of Multivariate Analysis 26: 207 - 218. pdf
• E. Arjas: A graphical method for assessing goodness-of-fit in Cox's proportional hazards model. J. Amer. Statist. Assoc. 83: 204 - 212. pdf
• E. Arjas & D. Venzon: A test for discriminating between additive and multiplicative relative risks in survival analysis. Applied Statistics 37: 1 - 11. pdf
• A. Yashin & E. Arjas: A note on random intensities and conditional survival functions. Journal of Applied Probability 25: 630 - 635.
• E. Arjas & I. Norros: A martingale approach to reliability: On the role of filtration in the model specification. Ann. Acad. Sci. Fenn. Ser.A.I. 13: 183 - 189.
• E. Arjas & P. Haara: A note on the asymptotic normality in the Cox regression model. The Annals of Statistics 16 (3): 1133-1140. pdf

1987

• E. Arjas & P. Haara: A logistic regression model for hazard: asymptotic results. Scandinavian Journal of Statistics 14: 1 - 18. pdf

1986

• E. Arjas: Stanford heart transplantation data revisited: A real time approach: In "Modern Statistical Methods in Chronic Disease Epidemiology", (S.H. Moolgavkar and R.L. Prentice, Eds.) Wiley (1986): 65 - 81. pdf

1985

• E. Arjas & P. Haara & R.L. Tweedie: A system model with interacting components: renewal type results. Optimization 16: 297 - 311. pdf
• E. Arjas: Contribution to the discussion on the paper by B. Bergman. Scandinavian J. of Statistics 12: 30 - 31. pdf
• E. Arjas: Contribution to the discussion on the paper by P.K. Andersen and Ø. Borgan. Scandinavian J. of Statistics 12: 150 - 153. pdf

1984

• E. Arjas & P. Haara: A marked point process approach to censored failure time data with complicated covariates. Scandinavian Journal of Statistics 11: 193 - 209. pdf
• E. Arjas: Contribution to the discussion on the paper by M.H.A. Davis. J. Royal Statist. Soc., Ser. B 46: 382.
• E. Arjas: Logistic regression in modelling hazards: a fully parametric approach. University of Oulu, Mathematics Research Report (1984), 43 p.

1982

• E. Arjas: On the consistency of Kaplan-Meier and Nelson plots in the case on multiple causes of failure. University of Oulu, Mathematics Research Report 2/82 (1982), 11 p.

1981

• E. Arjas: A stochastic process approach to multivariate reliability systems: notions based on conditional stochastic order. Mathematics of Operations Research 6: 263 - 276. pdf
• E. Arjas: The failure and hazard processes in multivariate reliability systems. Mathematics of Operations Research 6: 551 - 562. pdf
• E. Arjas & P. Greenwood: Competing risks and independent minima, a marked point process approach. Advances in Applied Probability 13: 669 - 680. pdf
• E. Arjas: On multivariate lifetime distributions. In “Proceedings of the Sixth Conference on Probability Theory”, Brasov (1981): 17 - 22. pdf

1980

• E. Arjas & E. Nummelin & R.L. Tweedie: Semi-Markov processes on a general state space -theory and quasi-stationarity. J. Aust. Math. Soc. (Series A) 30: 187 - 200. pdf
• V.S. Koroljuk & E. Arjas: Stationary phase lumpability of Markov general processes. Dokl. Akad. Nauk Ukrain. SSR, Ser. A 8: 3 - 6. pdf

1978

• E. Arjas & E. Nummelin & R.L. Tweedie: Uniform limit theorems for non-singular renewal and Markov renewal processes. J. Appl.Prob. 15: 112 - 125.
• E. Arjas & T. Lehtonen: Approximating many server queues by means of single server queues. Mathematics of Operations Research 3: 205 - 223.
• E. Arjas & T. Lehtonen: Approximating many server queues by means of single server queues II: simulation experiments. Helsinki School of Economics, Research paper D-33 (1978), 85 p. 

1977

• E. Arjas & E. Nummelin: Semi-Markov processes and a-invariant distributions. Stochastic Processes and their Applications 6: 53 - 64. pdf
• E. Arjas: Stokastiset prosessit - yleinen teoria. (Stochastic processes - general theory). In “Sovellettu matematiikka”, The Actuarial Society of Finland (1977): 95 - 107. (In Finnish.) 

1976

• E. Arjas & E. Nummelin: A direct construction of the R-invariant measure for a Markov chain on a general state space. The Annals of Probability 4: 674 - 679. 

1975

• E. Arjas & T.P. Speed: Markov chains with replacement. Stochastic Processes and their Applications 3: 175 - 184. 

1973

• E. Arjas & T.P. Speed: A note on the second factorisation identity of A.A. Borovkov. Teoriya Veroyatnostei i ee Primeneiya 18: 601 - 604. pdf
• E. Arjas & T.P. Speed: An extension of Cramér's estimate for the absorption probability of a random walk. Proc. Cambridge Phil. Soc. 73: 355 - 359. pdf
• E. Arjas & T.P. Speed: Topics in Markov additive processes. Math. Scand. 33: 171 - 192. pdf
• E. Arjas & T.P. Speed: Symmetric Wiener-Hopf factorisations in Markov additive processes. Wahrscheinlichkeitsth. verw. Geb. 26: 105 - 118. pdf
• E. Arjas & J.H.A. de Smit: On the total waiting time during a busy period of the single server queue. C.O.R.E. Discussion Paper No. 7312, Center for Operations Research and Econometrics, Louvain (1973), 21 p. 

1972

• E. Arjas: On a fundamental identity in the theory of semi-Markov processes. Advances in Applied Probability 4: 258 - 270. pdf
• E. Arjas: On the use of a fundamental identity in the theory of semi-Markov queues. Advances in Applied Probability 4: 271 - 284.
• E. Arjas: On the asymptotic behaviour of a generalization of Markov renewal processes. Soc. Sci. Fenn. Comment. Phys.-Math. 42: 17 - 25.
• E. Arjas:  On random walk methods in the theory of semi-Markov processes. Helsinki, 1972 (Doctoral Thesis Summary), 7 p.

1971

• E. Arjas & Salovaara: On the dynamic properties of the beating machines. In “Proceedings of The Second International Conference on Instrumentation and Automation in the Paper, Rubber and Plastics Industries”. I.F.A.C., Brussels (1971), 6p.

1969

• A. Arjas & E. Arjas: Serial and parallel connections of the beating machines. Paper and Timber 54: 461 - 466.