E-LIB Suche - Ergebnisse für: Krivobokova, Tatyana - Sprache DE

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1

Essays in quantitative economics: Improvements in measureme..:

Haarburger, Richard , 2023

Link: https://nbn-resolving.de..

2

Prediction of Enzyme Catalysis by Computing Reaction Energy..:

Platero-Rochart, Daniel ; Krivobokova, Tatyana ; Gastegger, Michael..
Journal of Chemical Information and Modeling. 63 (2023) 15 - p. 4623-4632 , 2023

Link: https://doi.org/10.1021/..

3

Uniformly valid inference based on the Lasso in linear mixe..:

Kramlinger, Peter ; Schneider, Ulrike ; Krivobokova, Tatyana
Journal of Multivariate Analysis. 198 (2023) - p. 105230 , 2023

Link: https://doi.org/10.1016/..

4

Uniformly valid inference based on the Lasso in linear mixe..:

Peter Kramlinger (Department of Statistics and Operations Research, Faculty of Business, Economics and Statistics, University of Vienna) ; Ulrike Schneider (Institute of Statistics and Mathematical Methods in Economics, TU Wien) ; Tatyana Krivobokova (Department of Statistics and Operations Research, Faculty of Business, Economics and Statistics, University of Vienna)
hdl:11353/10.2039963. , 2023

Link: https://doi.org/10.1016/..

5

Efficient nonparametric estimation of Toeplitz covariance m..:

Klockmann, Karolina ; Krivobokova, Tatyana
http://arxiv.org/abs/2303.10018. , 2023

Link: http://arxiv.org/abs/230..

6

An extended latent factor framework for ill-posed linear re..:

Finocchio, Gianluca ; Krivobokova, Tatyana
http://arxiv.org/abs/2307.08377. , 2023

Link: http://arxiv.org/abs/230..

7

On second-order statistics of the log-average periodogram:

Klockmann, Karolina ; Krivobokova, Tatyana
http://arxiv.org/abs/2306.10920. , 2023

Link: http://arxiv.org/abs/230..

8

Robuste ANOVA-Typ-Statistik in hochdimensionalen Mehrgruppe..:

Becker, Benjamin Markus , 2022

Link: https://nbn-resolving.de..

9

Joint non-parametric estimation of mean and auto-covariance..:

Krivobokova, Tatyana ; Serra, Paulo ; Rosales, Francisco.
Computational Statistics & Data Analysis. 173 (2022) - p. 107519 , 2022

Link: https://doi.org/10.1016/..

10

Marginal and Conditional Multiple Inference for Linear Mixe..:

Kramlinger, Peter ; Krivobokova, Tatyana ; Sperlich, Stefan
Journal of the American Statistical Association. 118 (2022) 544 - p. 2344-2355 , 2022

Link: https://doi.org/10.1080/..

11

Marginal and Conditional Multiple Inference for Linear Mixe..:

Peter Kramlinger (Department of Statistics and Operations Research, Faculty of Business, Economics and Statistics, University of Vienna) ; Tatyana Krivobokova (Department of Statistics and Operations Research, Faculty of Business, Economics and Statistics, University of Vienna) ; Stefan Sperlich (Geneva School of Economics and Management, Université de Genève)
hdl:11353/10.1625036. , 2022

Link: https://doi.org/10.1080/..

12

Joint non-parametric estimation of mean and auto-covariance..:

Krivobokova, Tatyana ; Serra, Paulo ; Rosales, Francisco.
https://hdl.handle.net/20.500.12640/3299. , 2022

Link: https://hdl.handle.net/2..

13

Joint non-parametric estimation of mean and auto-covariance..:

Krivobokova, Tatyana ; Serra, Paulo ; Rosales, Francisco.
https://research.vu.nl/en/publications/3f9dfd9f-b361-4850-a256-d67d7ff12bb6. , 2022

Link: https://research.vu.nl/e..

14

Uniformly Valid Inference Based on the Lasso in Linear Mixe..:

Kramlinger, Peter ; Schneider, Ulrike ; Krivobokova, Tatyana
http://arxiv.org/abs/2204.03887. , 2022

Link: http://arxiv.org/abs/220..

15

Joint non-parametric estimation of mean and auto-covariance..:

Krivobokova, Tatyana ; Serra, Paulo ; Rosales, Francisco.
https://research.vu.nl/en/publications/3f9dfd9f-b361-4850-a256-d67d7ff12bb6. , 2022

Link: https://research.vu.nl/e..

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