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Laura Vana
Laura Vana
Assistant Professor (Tenure Track) TU Wien
Bestätigte E-Mail-Adresse bei tuwien.ac.at
Titel
Zitiert von
Zitiert von
Jahr
mvord: an R package for fitting multivariate ordinal regression models
R Hirk, K Hornik, L Vana
Journal of Statistical Software 93, 1-41, 2020
642020
Multivariate ordinal regression models: an analysis of corporate credit ratings
R Hirk, K Hornik, L Vana
Statistical Methods & Applications 28, 507-539, 2019
602019
Time series Petri net models
A Rogge-Solti, L Vana, J Mendling
SIMPDA, 124-141, 2015
15*2015
Computing a journal meta-ranking using paired comparisons and adaptive lasso estimators
L Vana, R Hochreiter, K Hornik
Scientometrics 106, 229-251, 2016
132016
Investigating the dark figure of COVID-19 cases in Austria: borrowing from the deCODE genetics study in Iceland
R Hirk, G Kastner, L Vana
Austrian Journal of Statistics 49 (5), 1-17, 2020
112020
mvord: Multivariate ordinal regression models
R Hirk, K Hornik, L Vana, A Genz
R Package Version 0.3 3, 2018
52018
A corporate credit rating model with autoregressive errors
R Hirk, L Vana, K Hornik
Journal of Empirical Finance 69, 224-240, 2022
42022
Package ‘mvord’
R Hirk, K Hornik, L Vana, A Genz, ML Vana, M Imports
32024
A joint model of failures and credit ratings
R Hirk, L Vana, K Hornik, S Pichler
Journal of Credit Risk 17 (1), 2019
32019
Dynamic modelling of corporate credit ratings and defaults
L Vana, K Hornik
Statistical Modelling 23 (4), 357-375, 2023
22023
Posterior predictive model checking using formal methods in a spatio-temporal model
L Vana, E Visconti, L Nenzi, A Cadonna, G Kastner
arXiv preprint arXiv:2110.01360, 2021
22021
Statistical modeling for credit ratings
L Vana
22018
Identifying key factors in accounting-based models of credit risk based on a predictive model averaging approach
L Vana, P Hofmarcher, B Grün, K Hornik
Advances in Quantitative Analysis of Finance and Accounting, 117-146, 2018
12018
Readability prediction: How many features are necessary?
F Schwendinger, L Vana, K Hornik
The Annals of Applied Statistics 18 (2), 1010-1034, 2024
2024
Holistic Generalized Linear Models
B Schwendinger, F Schwendinger, L Vana
arXiv preprint arXiv:2205.15447, 2022
2022
Posterior predictive model checking using formal methods
L Vana, E Visconti, L Nenzi, A Cadonna, G Kastner, R Parzer
Minsk: BSU, 2022
2022
Posterior predictive model assessment using formal methods in a spatio-temporal mode
L Vana, E Visconti, L Nenzi, A Cadonna, G Kastner
arXiv preprint arXiv:2110.01360, 2021
2021
Multivariate ordinal regression models using the R package MultOrd
R Hirk, K Hornik, L Vana
The R User Conference, useR! 2017 July 4-7 2017 Brussels, Belgium, 287, 2017
2017
Computing a consensus journal meta-ranking using paired comparisons and adaptive lasso estimators
L Vana, R Hochreiter, K Hornik
arXiv preprint arXiv:1504.04873, 2015
2015
MultOrd: An R Package for Fitting Multivariate Ordinal Regression Models
R Hirk, K Hornik, L Vana
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