E. Wit

发表

Transcriptional profiling of tissue plasticity: role of shifts in gene expression and technical limitations.

C. Däpp, H. Hoppeler, M. Flück, 2005, Journal of applied physiology.

Inferring latent gene regulatory network kinetics

Ivan Vujačić, Javier González, Ernst Wit, 2013, Statistical applications in genetics and molecular biology.

Another look at estimating parameters in systems of ordinary differential equations via regularization

S. Mahmoudi, E. Wit, I. Vujačić, 2015 .

Modelling slowly changing dynamic gene-regulatory networks

E. Wit, A. Abbruzzo, 2012, 1205.2777.

Social, geographical, and lexical influence on Dutch dialect pronunciations

W. Krijnen, J. Nerbonne, Martijn Wieling, 2014, CLIN 2014.

Causal Regularization: On the trade-off between in-sample risk and out-of-sample risk guarantees

E. Wit, Lucas Kania, 2022, 2205.01593.

Time-course window estimator for ordinary differential equations linear in the parameters

I. Dattner, E. Wit, I. Vujačić, 2014, Statistics and Computing.

Reproducing kernel Hilbert space based estimation of systems of ordinary differential equations

Ernst Wit, Javier González, Ivan Vujacic, 2013, Pattern Recognit. Lett..

Generalized Tikhonov regularization in estimation of ordinary differential equations models

S. Mahmoudi, E. Wit, I. Vujačić, 2016 .

Time-course window estimator for ordinary differential equations linear in the parameters

Ernst Wit, Javier González, Itai Dattner, 2015, Stat. Comput..

Using mixture of Gamma distributions for Bayesian analysis in an M/G/1 queue with optional second service

E. Wit, E. Wit, A. Mohammadi, 2013, Comput. Stat..

A computationally fast alternative to cross-validation in penalized Gaussian graphical models

Ernst Wit, Antonino Abbruzzo, Ivan Vujacic, 2013, 1309.6216.

Hierarchical Graphical Model for Learning Functional Network Determinants

Ernst Wit, Sally Paganin, Emanuele Aliverti, 2017 .

mudfold: An R Package for Nonparametric IRT Modelling of Unfolding Processes

Wendy J. Post, Wim P. Krijnen, Ernst Wit, 2020, R J..

Non-parametric estimation of reciprocity and triadic effects in relational event networks

Ernst Wit, Ruta Juozaitiene, E. Wit, 2022, Soc. Networks.

Comparison of two inference approaches in Gaussian graphical models

E. Wit, V. Purutçuoğlu, E. Ayyildiz, 2017 .

Generative Models for Periodicity Detection in Noisy Signals

Jonathan Masci, Olga Kaiser, Stephany Fulda, 2022, 2201.07896.

Bayesian Structure Learning in Sparse Gaussian Graphical Models

A. Mohammadi, E. C. Wit, E. Wit, 2012, 1210.5371.

Bayesian Inference in Hidden Markov Random Fields for Binary Data Defined on Large Lattices

Anthony N. Pettitt, Ernst Wit, Nial Friel, 2009 .

Selecting the tuning parameter in penalized Gaussian graphical models

Ernst Wit, Antonino Abbruzzo, Angelo M. Mineo, 2018, Statistics and Computing.

How rare are power-law networks really?

E. C. Wit, I. Artico, I. Smolyarenko, 2020, Proceedings of the Royal Society A.

Inferring slowly-changing dynamic gene-regulatory networks

Ernst Wit, Antonino Abbruzzo, E. Wit, 2015, BMC Bioinformatics.

Fast inference of latent space dynamics in huge relational event networks

E. Wit, I. Artico, 2023, ArXiv.

Comparison of two inference approaches in Gaussian graphical models

E. Wit, V. Purutçuoğlu, E. Ayyildiz, 2017 .