PhD-theses

Last modified by varvio@helsinki_fi on 2024/02/14 06:58

PhD-theses

  • 2011-2014 TBA
  • Crispin Mutshinda Mwanza, 2010. Bayesian analysis of population dynamics.
  • Olli Saarela, 2010. On probability-based inference under data missing by design.
  • Matti Pirinen, 2009. Bayesian inference for retrospective population genetics models using Markov chain Monte Carlo methods.
  • Jing Tang, 2009. Bayesian statistical analysis of bacterial diversity.
  • Rashi Gupta, 2009. Methods to improve gene signal: application to cDNA microarrays.
  • Pekka Marttinen, 2008. Discovering hidden structures in molecular data using a Bayesian model partition approach.
  • Janne Pitkäniemi, 2008. Statistical analysis of the associations of hereditary factors with the risk of Type 1 diabetes
     and Diabetic Nephropathy based on the familial data collected through ascertainment from population-based registers.
  • Antti Tanskanen, 2008. Mathematical models on the impact of noise and dyadic molecular structures of the properties of a
     cardiac myocyte. (applied mathematics)
  • Anna Kuparinen, 2007. Gene flow from transgenic populations: models and applications for risk assessment.
  • Jukka Jokinen, 2007. Joint regression and association models for repeated categorical responses.
  • Samu Mäntyniemi, 2006. Bayesian fisheries stock assessment: integrating and updating knowledge.
  • Sampo Smolander, 2006. Radiative transfer, interception and scattering in coniferous forests: models and applications for
     production ecology and remote sensing. (applied mathematics)
  • Päivi Onkamo, 2002. Genetic mapping in complex traits: the case of Type 1 diabetes.
  • Tommi Härkänen, 2001. Bayesian intensity models in analyzing survival data: case studies in dental caries and rat
     tumorigenicity.
  • Jukka Ranta, 2001. On probabilistic models for the surveillance and prediction of disease incidence with latent processes:
     case studies on meningococcal outbreaks, childhood diabetes and poliomyelitis.
  • Andriy Andreev, 2000. Nonparametric statistical modeling of recurrent events: A Bayesian approach.
  • Pasi Korhonen, 2000. Accelerated failure time models for non-ignorable non-compliance in randomized studies.
  • Mikko Sillanpää, 2000.  Bayesian QTL mapping in inbred and outbred experimental designs.
  • Kari Auranen, 1999.  On Bayesian modelling of recurrent infections.