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Remarks on drift estimation for diffusion processes [PDF]
, 2009 In applications such as molecular dynamics it is of interest to fit Smoluchowski and Langevin equations to data. Practitioners often achieve this by a variety of seemingly ad hoc procedures such as fitting to the empirical measure generated by the data,
Pokern, Yvo +2 more
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Inverse Probability-Weighted Estimation for Dynamic Structural Equation Model with Missing Data
MathematicsIn various applications, observed variables are missing some information that was intended to be collected. The estimations of both loading and path coefficients could be biased when ignoring the missing data.
Hao Cheng
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JTAM (Jurnal Teori dan Aplikasi Matematika)Path analysis is used to determine the effect of exogenous variables on endogenous variables. One of the assumptions in path analysis is the linearity assumption. The linearity assumption can be tested using Ramsey RESET.
Muhammad Rafi Hasan Nurdin +3 more
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HURST STATISTICS (R/S-ANALYSIS) INTHESTUDY OF CLIMATIC VARIABLES
Наука. Инновации. Технологии, 2022 Introduction. An R/S analysis of the persistence of trends in climatic variables was carried out in the article using the normalized range method, which is one of the nonparametric approaches for studying series that do not satisfy all the conditions of ...
A. A. Tashilova
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Nonparametric Methods in Astronomy: Think, Regress, Observe -- Pick Any Three [PDF]
, 2018 Telescopes are much more expensive than astronomers, so it is essential to minimize required sample sizes by using the most data-efficient statistical methods possible.
Jermyn, Adam S., Steinhardt, Charles L.
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IOP Conference Series: Materials Science and Engineering, 2019 Linearity assumption that has not been fulfilled in the path analysis should use nonparametric approach. This research uses smoothing spline nonparametric path analysis with generated data where the condition of heteroscedasticity level measured through ...
Adji Achmad Rinaldo Fernandes +7 more
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IOP Conference Series: Materials Science and Engineering, 2019 The purpose of this research is to identify a particular relationship pattern among predictors and response variables where the response variables are multi-response and correlated. Path analysis is one of the appropriate statistical parametric method to
Muhamad Hidayat +2 more
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Fast, Robust, and Versatile Event Detection through HMM Belief State Gradient Measures
, 2018 Event detection is a critical feature in data-driven systems as it assists with the identification of nominal and anomalous behavior. Event detection is increasingly relevant in robotics as robots operate with greater autonomy in increasingly ...
Duan, Shuangda +5 more
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A Generic Path Algorithm for Regularized Statistical Estimation [PDF]
, 2012 Regularization is widely used in statistics and machine learning to prevent overfitting and gear solution towards prior information. In general, a regularized estimation problem minimizes the sum of a loss function and a penalty term. The penalty term is
Wu, Yichao, Zhou, Hua
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Optimal estimation of the mean function based on discretely sampled functional data: Phase transition [PDF]
, 2011 The problem of estimating the mean of random functions based on discretely sampled data arises naturally in functional data analysis. In this paper, we study optimal estimation of the mean function under both common and independent designs. Minimax rates
Cai, T. Tony, Yuan, Ming
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