User: Guest  Login
Sort by:
and:
next

M. Drton, M. Eichler, T.S. Richardson
Computing Maximum Likelihood Estimates in Recursive Linear Models with Correlated Errors
Journal of Machine Learning Research
2009
10
Oct
2329-2348
Wang, Y Samuel;Drton, Mathias
High-dimensional causal discovery under non-Gaussianity
Biometrika
2020
107
1
Mar
41–59
Drton, Mathias;Kahle, Thomas;Sturmfels, Bernd;Uhler, Caroline
Algebraic Statistics
Oberwolfach Reports
2018
14
2
1207-1279
Drton, M. and Richardson, T.S.
Graphical Methods for Efficient Likelihood Inference in Gaussian Covariance Models
Journal of Machine Learning Research
2008
9
893-914
Buck, J. and Klüppelberg, C.
Recursive max-linear models with propagating noise
preprint
2020
Améndola, C., Klüppelberg, C., Lauritzen, S., and Tran, N.
Conditional Independence in Max-linear Bayesian Networks
preprint
2020
Klüppelberg, C. and Pham, V.S.
Estimation of causal continuous‐time autoregressive moving average random fields
Scandinavian Journal of Statistics
2020
Jan
1-32
Marija Tepegjozova
D- and C-vine quantile regression for large data sets
Masterarbeit
2019
Özge Sahin
Statistical Analysis of the Number of Sales of a Pharmacy Product
Masterarbeit
2019
Acar, Elif F., Czado, Claudia and Lysy, Martin
Flexible dynamic vine copula models for multivariate time series data
Econometrics and Statistics
2019
12
12
Oct
181-197
Sort by:
and:
next