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Probabilistic models with deep neural networks

Masegosa, Andrés R. ; Cabañas, Rafael ; Langseth, Helge ; Nielsen, Thomas D. ; Salmerón, Antonio

In: Entropy, 2021, vol. 23, no. 1, p. 27 p

Recent advances in statistical inference have significantly expanded the toolbox of probabilistic modeling. Historically, probabilistic modeling has been constrained to very restricted model classes, where exact or approximate probabilistic inference is feasible. However, developments in variational inference, a general form of approximate probabilistic inference that originated in statistical...

Using Bayesian hierarchical parameter estimation to assess the generalizability of cognitive models of choice

Scheibehenne, Benjamin ; Pachur, Thorsten

In: Psychonomic Bulletin & Review, 2015, vol. 22, no. 2, p. 391-407

Bayesian Phylogenetic Estimation of Clade Ages Supports Trans-Atlantic Dispersal of Cichlid Fishes

Matschiner, Michael ; Musilová, Zuzana ; Barth, Julia M. I. ; Starostová, Zuzana ; Salzburger, Walter ; Steel, Mike ; Bouckaert, Remco

In: Systematic Biology, 2017, vol. 66, no. 1, p. 3-22

Prioritising candidate genes causing QTL using hierarchical orthologous groups

Warwick Vesztrocy, Alex ; Dessimoz, Christophe ; Redestig, Henning

In: Bioinformatics, 2018, vol. 34, no. 17, p. i612-i619

Bayesian inference, dysconnectivity and neuromodulation in schizophrenia

Stephan, Klaas E. ; Diaconescu, Andreea O. ; Iglesias, Sandra

In: Brain, 2016, vol. 139, no. 7, p. 1874-1876

Bayesian inference on stochastic gene transcription from flow cytometry data

Tiberi, Simone ; Walsh, Mark ; Cavallaro, Massimo ; Hebenstreit, Daniel ; Finkenstädt, Bärbel

In: Bioinformatics, 2018, vol. 34, no. 17, p. i647-i655

A Bayesian approach for comparing cross-validated algorithms on multiple data sets

Corani, Giorgio ; Benavoli, Alessio

In: Machine Learning, 2015, vol. 100, no. 2-3, p. 285-304

Approximate maximum likelihood estimation for population genetic inference

Bertl, Johanna ; Ewing, Gregory ; Kosiol, Carolin ; Futschik, Andreas

In: Statistical Applications in Genetics and Molecular Biology, 2017, vol. 16, no. 5-6, p. 291-312

Does prospective payment increase hospital (in)efficiency? Evidence from the Swiss hospital sector

Widmer, Philippe

In: The European Journal of Health Economics, 2015, vol. 16, no. 4, p. 407-419

SINCERITIES: inferring gene regulatory networks from time-stamped single cell transcriptional expression profiles

Papili Gao, Nan ; Ud-Dean, S M Minhaz ; Gandrillon, Olivier ; Gunawan, Rudiyanto ; Valencia, Alfonso ; Valencia, Alfonso

In: Bioinformatics, 2018, vol. 34, no. 2, p. 258-266