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Moritz Schauer
Moritz Schauer
Chalmers University of Technology and University of Gothenburg
Email verificata su chalmers.se - Home page
Titolo
Citata da
Citata da
Anno
Guided proposals for simulating multi-dimensional diffusion bridges
M Schauer, F van der Meulen, H van Zanten
Bernoulli 23 (4A), 2917–2950, 2017
772017
Bayesian estimation of discretely observed multi-dimensional diffusion processes using guided proposals
F van der Meulen, M Schauer
652017
Automatic Differentiation of Programs with Discrete Randomness
G Arya, M Schauer, F Schäfer, C Rackauckas
Advances in Neural Information Processing Systems, 2022
472022
Reversible jump MCMC for nonparametric drift estimation for diffusion processes
F van der Meulen, M Schauer, H van Zanten
Computational Statistics & Data Analysis 71, 615-632, 2014
462014
Continuous-discrete smoothing of diffusions
M Mider, M Schauer, F van der Meulen
Electronic Journal of Statistics 15 (2), pp. 4295–4342, 2021
352021
Associations of mindful eating domains with depressive symptoms and depression in three European countries
LHH Winkens, T van Strien, IA Brouwer, BWJH Penninx, M Visser, ...
Journal of affective disorders 228, 26-32, 2018
352018
Learning the causal structure of copula models with latent variables
R Cui, P Groot, M Schauer, T Heskes
Corvallis: AUAI Press, 2018
272018
Bayesian estimation of incompletely observed diffusions
F van der Meulen, M Schauer
Stochastics 90 (5), 641-662, 2018
262018
A piecewise deterministic Monte Carlo method for diffusion bridges
J Bierkens, S Grazzi, F van der Meulen, M Schauer
Statistics and Computing 31, 2021
242021
Simulation of elliptic and hypo-elliptic conditional diffusions
J Bierkens, F van der Meulen, M Schauer
Advances in Applied Probability 52 (1), 173-212, 2020
212020
Sticky PDMP samplers for sparse and local inference problems
J Bierkens, S Grazzi, F Meulen, M Schauer
Statistics and Computing 33 (1), 8, 2023
202023
Fast and scalable non-parametric Bayesian inference for Poisson point processes
S Gugushvili, F van der Meulen, M Schauer, P Spreij
RESEARCHERS.ONE, 2019, https://www.researchers.one/article/2019-06-6, with …, 2019
202019
Diffusion bridges for stochastic Hamiltonian systems with applications to shape analysis
A Arnaudon, F van der Meulen, M Schauer, S Sommer
SIAM Journal on Imaging Sciences 15 (1), 293-323, 2022
19*2022
Automatic backward filtering forward guiding for Markov processes and graphical models
F Van der Meulen, M Schauer
arXiv preprint arXiv:2010.03509, 2020
162020
Adaptive nonparametric drift estimation for diffusion processes using Faber-Schauder expansions
F van der Meulen, M Schauer, J van Waaij
Statistical Inference for Stochastic Processes 21 (3), 603-628, 2018
122018
Nonparametric Bayesian inference for Gamma-type Lévy subordinators
D Belomestny, S Gugushvili, M Schauer, P Spreij
Communications in Mathematical Sciences 17 (3), 781-816, 2019
9*2019
Differentiating Metropolis-Hastings to Optimize Intractable Densities
G Arya, R Seyer, F Schäfer, A Lew, M Huot, VK Mansinghka, ...
Differentiable Almost Everything Workshop of ICML 2023; arXiv preprint arXiv …, 2023
82023
Conditioning continuous-time Markov processes by guiding
M Corstanje, F van der Meulen, M Schauer
Stochastics 95 (6), 963-996, 2023
72023
Network coloring and colored coin games
C Pelekis, M Schauer
Search Theory: A Game Theoretic Perspective, 59-73, 2013
72013
Flexible group fairness metrics for survival analysis
R Sonabend, F Pfisterer, A Mishler, M Schauer, L Burk, S Mukherjee, ...
DSHealth 2022 (Workshop on Applied Data Science for Healthcare); arXiv …, 2022
62022
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