Buhl, S. and Klüppelberg, C.
Generalised least squares estimation of regularly varying space-time processes based on flexible observation schemes
Extremes
2019
22
2
Jun
223-269

Sen, R. and Klüppelberg, C.
Time series of functional data with application to yield curves
Applied Stochastic Models in Business and Industry
2019
35
4
Mar
1028-1043

Chen, Wenyu; Drton, Mathias; Wang, Y Samuel
On causal discovery with an equal-variance assumption
Biometrika
2019
106
4
Dec
973-980

Yu, Shiqing; Drton, Mathias; Shojaie, Ali
Generalized Score Matching for Non-Negative Data
Journal of Machine Learning Research
2019
20
76
Dec
1-70

Drton, Mathias;Fox, Christopher;Wang, Y. Samuel
Computation of maximum likelihood estimates in cyclic structural equation models
The Annals of Statistics
2019
47
2
663-690

Drton, Mathias; Fox, Christopher; Käufl, Andreas; Pouliot, Guillaume
The maximum likelihood threshold of a path diagram
The Annals of Statistics
2019
47
3
Feb
1536-1553

McDavid, Andrew; Gottardo, Raphael; Simon, Noah; Drton, Mathias
Graphical models for zero-inflated single cell gene expression
The Annals of Applied Statistics
2019
13
2
Jun
848-873

Do Rego Sousa, Thiago
Simulation-based estimation of time series and stochastic volatility processes
2019
Dissertation
147 Seiten

Klüppelberg, C. and Lauritzen, S.
Bayesian Networks for Max-linear Models
79-97
Network Science - An Aerial View
Biagini, F. and Kauermann, G. and Meyer-Brandis, T.
Springer International Publishing
2019

Pham, Viet Son
Stochastic modeling in space and time with Lévy-driven random fields
2019
Dissertation
160 Seiten