Blasques, F., van Brummelen, J., Gorgi, P. and Koopman, S.J. (2024). Maximum Likelihood Estimation for Non-Stationary Location Models with Mixture of Normal Distributions Journal of Econometrics, 238(1):.
54 Key Publications
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Boswijk, \H.Peter\, Laeven, \RogerJ.A.\ and Vladimirov, E. (2024). Estimating option pricing models using a characteristic function-based linear state space representation Journal of Econometrics, 244(1):. -
Ahmed, H., Einmahl, \JohnH.J.\ and Zhou, C. (2024). Extreme value statistics in semi-supervised models Journal of the American Statistical Association, 120(549):291--304. -
Kleen, O. (2024). Scaling and measurement error sensitivity of scoring rules for distribution forecasts Journal of Applied Econometrics, 39(5):833--849. -
Lange, R. (2024). Bellman filtering and smoothing for state-space models Journal of Econometrics, 238(2):. -
Can, S., Einmahl, J. and Laeven, R. (2024). Two-Sample Testing for Tail Copulas with an Application to Equity Indices Journal of Business and Economic Statistics, 42(1):147--159. -
Ziegler, A.G.B., Romagnoli, G. and Offerman, T. (2024). Morals in Multi-Unit Markets Journal of the European Economic Association, 22(5):2225--2260. -
\de Haan\, L. and Zhou, C. (2024). Bootstrapping Extreme Value Estimators Journal of the American Statistical Association, 119(545):382--393. -
Creal, D., Koopman, S.J., Lucas, A. and Zamojski, M. (2024). Observation-driven filtering of time-varying parameters using moment conditions Journal of Econometrics, 238(2):1--14. -
De Vos, I. and Stauskas, O. (2024). Cross-section bootstrap for CCE regressions Journal of Econometrics, 240(1):. -
D'Innocenzo, E. and Lucas, A. (2024). Dynamic partial correlation models Journal of Econometrics, 241(2):. -
Rezaei, S., Rosenkranz, S., Weitzel, U. and Westbrock, B. (2024). Social preferences on networks Journal of Public Economics, 234:. -
He, Y. (2024). Ridge Regression Under Dense Factor Augmented Models Journal of the American Statistical Association, 119(546):1566--1578. -
Vogels, L., Mohammadi, R., Schoonhoven, M. and Birbil, S. (2024). Bayesian Structure Learning in Undirected Gaussian Graphical Models: Literature Review with Empirical Comparison Journal of the American Statistical Association, 119(548):3164--3182.