Book ChapterDOI
Fitting autoregressive models for prediction
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This is a preliminary report on a newly developed simple and practical procedure of statistical identification of predictors by using autoregressive models in a stationary time series.Abstract:
This is a preliminary report on a newly developed simple and practical procedure of statistical identification of predictors by using autoregressive models. The use of autoregressive representation of a stationary time series (or the innovations approach) in the analysis of time series has recently been attracting attentions of many research workers and it is expected that this time domain approach will give answers to many problems, such as the identification of noisy feedback systems, which could not be solved by the direct application of frequency domain approach [1], [2], [3], [9].read more
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Religion and Education as Mediators of Attitudes: A Multivariate Analysis
TL;DR: The transmission of social attitudes has been investigated as a possible model of cultural inheritance in a sample of 3810 twin pairs from the Australian National Health and Medical Research Twin Registry and indicated that the attitudes were correlated.
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Model selection by multiple test procedures
TL;DR: In this paper, a multiple test procedure for inferring the dimension of a general finite parameter model is proposed, which consists of individual tests of each of these parameters and the critical limits of the individual tests depend on the sample size in an appropriate way.
Journal ArticleDOI
Predicting Time From Metastasis to Overall Survival in Castration-Resistant Prostate Cancer: Results From SEARCH
Daniel M. Moreira,Lauren E. Howard,Katharine N. Sourbeer,Hiruni S. Amarasekara,Hiruni S. Amarasekara,Lydia C. Chow,Lydia C. Chow,Dillon C. Cockrell,Dillon C. Cockrell,Connor L. Pratson,Connor L. Pratson,Brian T. Hanyok,Brian T. Hanyok,William J. Aronson,Christopher J. Kane,Martha K. Terris,Christopher L. Amling,Matthew R. Cooperberg,Stephen J. Freedland +18 more
TL;DR: It was found that age, more remote year of mCRPC, greater number of bone metastasis, higher prostate‐specific antigen levels, and shorter prostate‐ specific antigen doubling time at mCR PC diagnosis were associated with shorter overall survival.
Journal ArticleDOI
Handling missing data in multivariate time series using a vector autoregressive model-imputation (VAR-IM) algorithm
Faraj Bashir,Hua-Liang Wei +1 more
TL;DR: A new algorithm for handling missing data from multivariate time series datasets is introduced based on a vector autoregressive (VAR) model by combining an expectation and minimization algorithm with the prediction error minimization (PEM) method.
Book ChapterDOI
RED: A Simple but Effective Baseline Predictor for the TrajNet Benchmark
TL;DR: It is shown how a Recurrent-Encoder with a Dense layer stacked on top, referred to as RED-predictor, is able to achieve top-rank at the TrajNet 2018 challenge compared to elaborated models.
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