Halina Frydman

Halina Frydman is a Professor in the Department of Statistics and Operations Research at the Leonard N. Stern School of Business, New York University, where she has been a faculty member since 1978. Her academic work bridges statistical theory and real-world applications in finance and labor economics.

• Institution: New York University
• School: Leonard N. Stern School of Business
• Department: Department of Statistics and Operations Research
• Academic Rank: Professor
• Email: hf2@stern.nyu.edu

Education:

• Ph.D. in Mathematical Statistics, Columbia University, 1978
• M.A. in Mathematical Statistics, Columbia University, 1974
• B.S. in Physics and Mathematics, Cooper Union, 1972

Research Interests: Professor Frydman specializes in survival analysis and Markov processes, with a strong focus on their applications in financial modeling and labor market dynamics. Her work explores mixture models of Markov chains to capture heterogeneity in longitudinal data, particularly in the context of corporate credit rating migrations and employment/unemployment transitions. She also contributes to methodological advances in stochastic modeling and statistical inference for time-to-event data.

Publication Trends: Her recent research, reflected in reconstructed articles, demonstrates a consistent focus on developing and applying advanced statistical models—particularly survival models, Markov chains, and mixture models—to problems in finance and economics. There is a clear progression toward more complex, data-driven models incorporating Bayesian methods, high-dimensional estimation, and time-varying effects.

Scientific Awards:

• No awards explicitly mentioned in the source text.

Advising and Grants: While specific advisees and grant funding are not listed in the available text, Professor Frydman's long-standing research program and publications in premier journals such as the Journal of the American Statistical Association and The Journal of Finance suggest a significant scholarly impact and likely history of research sponsorship. She teaches core courses including Regression & Forecasting Models, Stochastic Processes I, and Stochastic Models in Finance, indicating active engagement in graduate education.

Labs and Research Teams: No specific laboratories or research groups are mentioned in the provided content. However, her research aligns with interdisciplinary efforts in financial statistics and econometric modeling, potentially involving collaboration within NYU’s broader quantitative research community.