chronology
发表于 2025-3-30 11:27:01
How to Make Plausibility-Based Forecasting More Accurater whether a modified selection would like to a more accurate forecast. In this paper, we show that the uniform distribution does not always lead to (asymptotically) optimal estimates, and we show how to modify the uniform-distribution step so that the resulting estimates become asymptotically optimal.
他姓手中拿着
发表于 2025-3-30 14:17:55
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直言不讳
发表于 2025-3-30 19:29:11
EM Estimation for Multivariate Skew Slash Distributiondel based on this family are discussed. For illustration of the main results, we use the actual data coming from the Inner Mongolia Academy of Agriculture and Animal Husbandry Research Station to show the performance of the proposed algorithm.
HAWK
发表于 2025-3-31 00:17:32
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惊呼
发表于 2025-3-31 03:15:56
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bibliophile
发表于 2025-3-31 07:35:47
978-3-319-84480-0Springer International Publishing AG 2017
Fissure
发表于 2025-3-31 09:47:06
Robustness in Econometrics978-3-319-50742-2Series ISSN 1860-949X Series E-ISSN 1860-9503
预测
发表于 2025-3-31 13:45:56
Weighted Least Squares and Adaptive Least Squares: Further Empirical Evidencen application to two empirical data sets. Overall, ALS emerges as the winner: It achieves most or even all of the efficiency gains of WLS over OLS when WLS outperforms OLS, but it only has very limited downside risk compared to OLS when OLS outperforms WLS.
Grasping
发表于 2025-3-31 18:31:31
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Musculoskeletal
发表于 2025-3-31 22:51:40
Sequential Monte Carlo Sampling for State Space ModelsThe aim of these notes is to revisit sequential Monte Carlo (SMC) sampling. SMC sampling is a powerful simulation tool for solving non-linear and/or non-Gaussian state space models. We illustrate this with several examples.