mvord: an R package for fitting multivariate ordinal regression models R Hirk, K Hornik, L Vana Journal of Statistical Software 93, 1-41, 2020 | 64 | 2020 |
Multivariate ordinal regression models: an analysis of corporate credit ratings R Hirk, K Hornik, L Vana Statistical Methods & Applications 28, 507-539, 2019 | 60 | 2019 |
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 | 13 | 2016 |
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 | 12 | 2020 |
mvord: Multivariate ordinal regression models R Hirk, K Hornik, L Vana, A Genz R Package Version 0.3 3, 2018 | 5 | 2018 |
A corporate credit rating model with autoregressive errors R Hirk, L Vana, K Hornik Journal of Empirical Finance 69, 224-240, 2022 | 4 | 2022 |
Package ‘mvord’ R Hirk, K Hornik, L Vana, A Genz, ML Vana, M Imports | 3 | 2024 |
A joint model of failures and credit ratings R Hirk, L Vana, K Hornik, S Pichler Journal of Credit Risk 17 (1), 2019 | 3 | 2019 |
Dynamic modelling of corporate credit ratings and defaults L Vana, K Hornik Statistical Modelling 23 (4), 357-375, 2023 | 2 | 2023 |
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 | 2 | 2021 |
Statistical modeling for credit ratings L Vana | 2 | 2018 |
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 | 1 | 2018 |
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 | | |