Results 41 to 50 of about 19,416,832 (324)

Model Selection in Threshold Models [PDF]

, 2004
This paper considers information criteria as model evaluation tools for nonlinear threshold models. Results concerning the consistency of information criteria in selecting the lag order of linear autoregressive models are extended to nonlinear ...
Kapetanios, George
core   +1 more source

Comparing Model Selection Criteria to Distinguish Truncated Operational Risk Models

Frontiers in Applied Mathematics and Statistics, 2020
In this paper three information criteria are employed to assess the truncated operational risk models. The performances of the three information criteria on distinguishing the models are compared.
Daoping Yu
doaj   +1 more source

First evidence of occupational and residential exposure to bisphenols associated with an e-waste dismantling site: A case study in China

Ecotoxicology and Environmental Safety, 2023
Bisphenol A and its structural analogues (BPs) are widely used chemicals in electronics devices. To get insight into the occupational exposure to the full-time employees compared with the residents, urinary BPs in workers dismantling e-waste and in ...
Xiaoying Li, Xintai Wang, Yarui Liu, Hongkai Zhu, Lei Wang   +4 more
doaj   +1 more source

Information criteria determine the number of active sources [PDF]

, 1996
With the neuroelectromagnetic inverse problem, the optimal choice of the number of sources is a difficult problem, especially in the presence of correlated noise.
Berends, E.M., Jagers, Bert, Knosche, T.R., Knosche, T.R., Peters, M.J.   +4 more
core   +4 more sources

Closing the loop: assisting archival appraisal and information retrieval in one sweep [PDF]

, 2013
In this article, we examine the similarities between the concept of appraisal, a process that takes place within the archives, and the concept of relevance judgement, a process fundamental to the evaluation of information retrieval systems.
Kim, Y., Ross, S.
core   +1 more source

GARCH-Model Identification based on Performance of Information Criteria

, 2020
The stock market prices are volatile due to influence by many factors such as global trends, local trends, and economic conditions. Identification of Generalized autoregressive conditional heteroscedasticity(GARCH) order for stock data is a challenging ...
Nagaraj Naik, B. Mohan, R. Jha
semanticscholar   +1 more source

Information preserving structures: A general framework for quantum zero-error information [PDF]

, 2010
Quantum systems carry information. Quantum theory supports at least two distinct kinds of information (classical and quantum), and a variety of different ways to encode and preserve information in physical systems. A system's ability to carry information
A. Granas, C. E. Shannon, C. E. Shannon, C. E. Shannon, C. W. Helstrom, D. Kribs, David Poulin, Hui Khoon Ng, J. A. Wheeler, K. Davidson, K. Hoffman, K. Kraus, Lorenza Viola, M. A. Nielsen, R. Alicki, Robin Blume-Kohout, T. M. Cover   +16 more
core   +3 more sources

Biophysical Effects of Land Cover Changes on Land Surface Temperature on the Sichuan Basin and Surrounding Regions

Land, 2023
The biophysical effect of land cover changes (LCC) on local temperature is currently a hot topic. This work selects one of the nine agricultural divisions in China, the Sichuan Basin and surrounding regions, as the study area.
Xiangming Mao, Gula Tang, Jiaqiang Du, Xiaotong Tian   +3 more
doaj   +1 more source

Information criteria for efficient quantum state estimation

, 2011
Recently several more efficient versions of quantum state tomography have been proposed, with the purpose of making tomography feasible even for many-qubit states.
D. Perez-Garcia, H. Jeffreys, J. O. S. Yin, K. P. Burnham, K. Takeuchi, M. Paris, M. Stone, S. J. van Enk   +7 more
core   +1 more source

Model Selection in Beta Regression Analysis Using Several Information Criteria and Heuristic Optimization

Journal of New Theory, 2020
In the context of generalized linear modelling (GLM), the beta regression analysis is used to estimate regression models when the dependent variable lies between (0,1).
Mehmet Ali Cengiz, Emre Dünder
doaj