Results 1 to 10 of about 64,488 (114)
Change detection in non-stationary Hawkes processes through sequential testing [PDF]
Detecting changes in an incoming data flow is immensely crucial for understanding inherent dependencies, formulating new or adapting existing policies, and anticipating further changes. Distinct modeling constructs have triggered varied ways of detecting
Bhaduri Moinak +2 more
doaj +1 more source
Robust Test Statistics Based on Restricted Minimum Rényi’s Pseudodistance Estimators
The Rao’s score, Wald and likelihood ratio tests are the most common procedures for testing hypotheses in parametric models. None of the three test statistics is uniformly superior to the other two in relation with the power function, and moreover, they ...
María Jaenada +2 more
doaj +1 more source
Model Uncertainty and Selection of Risk Models for Left-Truncated and Right-Censored Loss Data
Insurance loss data are usually in the form of left-truncation and right-censoring due to deductibles and policy limits, respectively. This paper investigates the model uncertainty and selection procedure when various parametric models are constructed to
Qian Zhao, Sahadeb Upretee, Daoping Yu
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The work is devoted to the estimate accuracy comparative analysis of the experimental data parameters with exponential power distribution (EPD) using the classical Maximum Likelihood Estimation (MLE) and the original Polynomial Maximization Method (PMM).
S. V. Zabolotnii +3 more
doaj +1 more source
Model Adequacy Checks for Discrete Choice Dynamic Models [PDF]
This paper proposes new parametric model adequacy tests for possibly nonlinear and nonstationary time series models with noncontinuous data distribution, which is often the case in applied work.
Kheifets, Igor, Velasco, Carlos
core +1 more source
Distribution-free tests of fractional cointegration [PDF]
We propose tests of the null of spurious relationship against the alternative of fractional cointegration among the components of a vector of fractionally integrated time series.
Hualde, Javier, Velasco, Carlos
core +10 more sources
Residuals and goodness-of-fit tests for stationary marked Gibbs point processes [PDF]
The inspection of residuals is a fundamental step to investigate the quality of adjustment of a parametric model to data. For spatial point processes, the concept of residuals has been recently proposed by Baddeley et al.
Andersen +33 more
core +7 more sources
Theoretical and Empirical Differences between Diagonal and Full BEKK for Risk Management
The purpose of the paper is to explore the relative biases in the estimation of the Full BEKK model as compared with the Diagonal BEKK model, which is used as a theoretical and empirical benchmark.
David E. Allen, Michael McAleer
doaj +1 more source
Refined tests for spatial correlation [PDF]
We consider testing the null hypothesis of no spatial correlation against the alternative of pure first order spatial autoregression. A test statistic based on the least squares estimate has good first-order asymptotic properties, but these may not be ...
Robinson, Peter M., Rossi, Francesca
core +1 more source
Multivariate Specification Tests Based on a Dynamic Rosenblatt Transform
This paper considers parametric model adequacy tests for nonlinear multivariate dynamic models. It is shown that commonly used Kolmogorov-type tests do not take into account cross-sectional nor time-dependence structure, and a test, based on multi ...
Kheifets, Igor L.
core +1 more source

