Dario Gasbarra
Dario Gasbarra
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Nonparametric Bayesian inference from right censored survival data, using the Gibbs sampler
E Arjas, D Gasbarra
Statistica sinica, 505-524, 1994
Estimation of an errors‐in‐variables regression model when the variances of the measurement errors vary between the observations
SB Kulathinal, K Kuulasmaa, D Gasbarra
Statistics in Medicine 21 (8), 1089-1101, 2002
Gaussian bridges
D Gasbarra, T Sottinen, E Valkeila
Stochastic Analysis and Applications: The Abel Symposium 2005, 361-382, 2007
Bayesian inference of survival probabilities, under stochastic ordering constraints
E Arjas, D Gasbarra
Journal of the American Statistical Association 91 (435), 1101-1109, 1996
Enlargement of filtration and additional information in pricing models: Bayesian approach
Y Kabanov, R Liptser, J Stoyanov, D Gasbarra, E Valkeila, L Vostrikova
From Stochastic Calculus to Mathematical Finance: The Shiryaev Festschrift …, 2006
Testing equality of cause-specific hazard rates corresponding to m competing risks among K groups
SB Kulathinal, D Gasbarra
Lifetime Data Analysis 8, 147-161, 2002
Backward simulation of ancestors of sampled individuals
D Gasbarra, MJ Sillanpää, E Arjas
Theoretical population biology 67 (2), 75-83, 2005
Conditional full support of Gaussian processes with stationary increments
D Gasbarra, T Sottinen, H Van Zanten
Journal of Applied Probability 48 (2), 561-568, 2011
Estimating genealogies from unlinked marker data: a Bayesian approach
D Gasbarra, M Pirinen, MJ Sillanpää, E Salmela, E Arjas
Theoretical population biology 72 (3), 305-322, 2007
Estimation of Viterbi path in Bayesian hidden Markov models
J Lember, D Gasbarra, A Koloydenko, K Kuljus
Metron 77, 137-169, 2019
Optimal designs to select individuals for genotyping conditional on observed binary or survival outcomes and non-genetic covariates
J Karvanen, S Kulathinal, D Gasbarra
Computational Statistics & Data Analysis 53 (5), 1782-1793, 2009
Analysis of competing risks by using Bayesian smoothing
D Gasbarra, SR Karia
Scandinavian Journal of Statistics 27 (4), 605-617, 2000
A new framework for MR diffusion tensor distribution
KN Magdoom, S Pajevic, G Dario, PJ Basser
Scientific Reports 11 (1), 1-15, 2021
Estimating haplotype frequencies by combining data from large DNA pools with database information
D Gasbarra, S Kulathinal, M Pirinen, MJ Sillanpaa
IEEE/ACM Transactions on Computational Biology and Bioinformatics 8 (1), 36-44, 2009
Comment on “On the Metropolis-Hastings acceptance probability to add or drop a quantitative trait locus in Markov chain Monte Carlo-based Bayesian analyses”
MJ Sillanpää, D Gasbarra, E Arjas
Genetics 167 (2), 1037-1037, 2004
On prequential model assessment in life history analysis
E Arjas, D Gasbarra
Biometrika, 505-522, 1997
Estimating population haplotype frequencies from pooled DNA samples using PHASE algorithm
M Pirinen, S Kulathinal, D Gasbarra, MJ Sillanpää
Genetics Research 90 (6), 509-524, 2008
Estimating genealogies from linked marker data: a Bayesian approach
D Gasbarra, M Pirinen, MJ Sillanpää, E Arjas
BMC bioinformatics 8, 1-31, 2007
Joint modelling of recurrent infections and antibody response by Bayesian data augmentation
M Eerola, D Gasbarra, P Helena Mäkelä, H Linden, A Andreev
Scandinavian journal of statistics 30 (4), 677-698, 2003
Effects of reference population and number of STR markers on paternity testing
R Moroni, D Gasbarra, E Arjas, M Lukka, I Ulmanen
Forensic Science International: Genetics Supplement Series 1 (1), 654-655, 2008
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