Introducing recursive partitioning for financial classification: the case of financial distress H Frydman, EI Altman, DL Kao The journal of finance 40 (1), 269-291, 1985 | 1295 | 1985 |
Predicting outcome from hypoxic-lschemic coma DE Levy, JJ Caronna, BH Singer, RH Lapinski, H Frydman, F Plum Jama 253 (10), 1420-1426, 1985 | 833 | 1985 |
Modeling the effect of macroeconomic factors on corporate default and credit rating transitions S Figlewski, H Frydman, W Liang International Review of Economics & Finance 21 (1), 87-105, 2012 | 383 | 2012 |
Credit rating dynamics and Markov mixture models H Frydman, T Schuermann Journal of Banking & Finance 32 (6), 1062-1075, 2008 | 275 | 2008 |
Maximum likelihood estimation in the mover-stayer model H Frydman Journal of the American Statistical Association 79 (387), 632-638, 1984 | 144 | 1984 |
A note on nonparametric estimation of the distribution function from interval-censored and truncated observations H Frydman Journal of the Royal Statistical Society Series B: Statistical Methodology …, 1994 | 121 | 1994 |
Testing the adequacy of Markov chain and mover-stayer models as representations of credit behavior H Frydman, JG Kallberg, DL Kao Operations Research 33 (6), 1203-1214, 1985 | 107 | 1985 |
A nonparametric estimation procedure for a periodically observed three‐state Markov process, with application to AIDS H Frydman Journal of the Royal Statistical Society: Series B (Methodological) 54 (3 …, 1992 | 104 | 1992 |
Nonparametric estimation of a Markov ‘illness-death’process from interval-censored observations, with application to diabetes survival data H Frydman Biometrika 82 (4), 773-789, 1995 | 99 | 1995 |
Semiparametric estimation in a three-state duration-dependent Markov model from interval-censored observations with application to AIDS data H Frydman Biometrics, 502-511, 1995 | 84 | 1995 |
Estimation in the mixture of Markov chains moving with different speeds H Frydman Journal of the American Statistical Association 100 (471), 1046-1053, 2005 | 72 | 2005 |
Nonparametric estimation in a Markov “illness–death” process from interval censored observations with missing intermediate transition status H Frydman, M Szarek Biometrics 65 (1), 143-151, 2009 | 69 | 2009 |
Estimation in the continuous time mover‐stayer model with an application to bond ratings migration H Frydman, A Kadam Applied Stochastic Models in Business and Industry 20 (2), 155-170, 2004 | 42 | 2004 |
Total positivity and the embedding problem for Markov chains H Frydman, B Singer Mathematical Proceedings of the Cambridge Philosophical Society 86 (2), 339-344, 1979 | 37 | 1979 |
Ensemble methods for survival function estimation with time-varying covariates W Yao, H Frydman, D Larocque, JS Simonoff Statistical Methods in Medical Research 31 (11), 2217-2236, 2022 | 31 | 2022 |
Cost inefficiency, size of firms and takeovers S Trimbath, H Frydman, R Frydman Review of Quantitative Finance and Accounting 17, 397-420, 2001 | 27 | 2001 |
The embedding problem for Markov chains with three states H Frydman Mathematical Proceedings of the Cambridge Philosophical Society 87 (2), 285-294, 1980 | 25 | 1980 |
An ensemble method for interval-censored time-to-event data W Yao, H Frydman, JS Simonoff Biostatistics 22 (1), 198-213, 2021 | 18 | 2021 |
Maximum likelihood estimation of hidden Markov processes H Frydman, P Lakner The Annals of Applied Probability 13 (4), 1296-1312, 2003 | 16 | 2003 |
Nonparametric estimation of the cumulative intensities in an interval censored competing risks model H Frydman, J Liu Lifetime data analysis 19, 79-99, 2013 | 15 | 2013 |