Simone Hermann

Follow

Generating author description...

All published works

Action	Title	Year	Authors
+ PDF Chat	Non-local homogenization limits of discrete elastic spring network models with random coefficients	2024	Patrick Dondl Martin Heida Simone Hermann
+ PDF Chat	mixedsde: A Package to Fit Mixed Stochastic Differential Equations	2019	Charlotte Dion Simone Hermann Adeline Samson
+	BaPreStoPro: an R package for Bayesian prediction of stochastic processes	2016	Simone Hermann
+	Prediction of crack growth based on a hierarchical diffusion model	2015	Simone Hermann Katja Ickstadt Christine H. Müller

Common Coauthors

Coauthor	Papers Together
Charlotte Dion	1
Katja Ickstadt	1
Patrick Dondl	1
Martin Heida	1
Christine H. Müller	1
Adeline Samson	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Stochastic Differential Mixed-Effects Models	2009	Umberto Picchini Andrea De Gaetano Susanne Ditlevsen	2
+	Parametric modelling of growth curve data: An overview	2001	Dale L. Zimmerman Vicente Núñez‐Antón Timothy G. Grégoire Oliver Schabenberger Jeffrey D. Hart Michael G. Kenward Geert Molenberghs Geert Verbeke Mohsen Pourahmadi Philippe Vieu	1
+	Bayesian Methods for Data Analysis	2008	Bradley P. Carlin Thomas A. Louis	1
+	Approximation of the posterior density for diffusion processes	2005	J. A. Cano Mathieu Kessler Diego Salmerón	1
+ PDF Chat	Monte Carlo Statistical Methods	2000	Hoon Kim Christian P. Robert George Casella	1
+	Estimation in the partially observed stochastic Morris–Lecar neuronal model with particle filter and stochastic approximation methods	2014	Susanne Ditlevsen Adeline Samson	1
+ PDF Chat	General notions of statistical depth function	2000	Robert Serfling Yijun Zuo	1
+ PDF Chat	Stochastic Volatility Models as Hidden Markov Models and Statistical Applications	2000	Valentine Genon-Catalot Thierry Jeantheau Catherine Larédo Catherine Laredo	1
+ PDF Chat	Parametric Inference for Diffusion Processes Observed at Discrete Points in Time: a Survey	2004	Helle Sørensen	1
+ PDF Chat	Exact and Computationally Efficient Likelihood-Based Estimation for Discretely Observed Diffusion Processes (with Discussion)	2006	Alexandros Beskos Omiros Papaspiliopoulos Gareth O. Roberts Paul Fearnhead	1
+ PDF Chat	Maximum Likelihood Estimation for Stochastic Differential Equations with Random Effects	2012	Maud Delattre Valentine Genon‐Catalot Adeline Samson	1
+	Non‐linear random effects models with continuous time autoregressive errors: a Bayesian approach	2005	Rolando de la Cruz Guillermo Marshall	1
+ PDF Chat	Nonparametric estimation in a mixed-effect Ornstein–Uhlenbeck model	2016	Charlotte Dion	1
+ PDF Chat	mixedsde: A Package to Fit Mixed Stochastic Differential Equations	2019	Charlotte Dion Simone Hermann Adeline Samson	1
+ PDF Chat	Estimation for stochastic differential equations with mixed effects	2016	Valentine Genon-Catalot Catherine Larédo	1
+ PDF Chat	Optimal Proposal Distributions and Adaptive MCMC	2011	Jeffrey S. Rosenthal	1
+ PDF Chat	MCMC Using Hamiltonian Dynamics	2011	Radford M. Neal	1
+ PDF Chat	Particle Markov Chain Monte Carlo Methods	2010	Christophe Andrieu Arnaud Doucet Roman Holenstein	1
+ PDF Chat	Bidimensional random effect estimation in mixed stochastic differential model	2015	Chantal Dion Valentine Genon‐Catalot	1