General and Local: Averaged k-Dependence Bayesian Classifiers
Entropy, 2015 The inference of a general Bayesian network has been shown to be an NP-hard problem, even for approximate solutions. Although k-dependence Bayesian (KDB) classifier can construct at arbitrary points (values of k) along the attribute dependence spectrum ...
Limin Wang +3 more
doaj +1 more source
Extending Hilbert–Schmidt Independence Criterion for Testing Conditional Independence
Entropy, 2023 The Conditional Independence (CI) test is a fundamental problem in statistics. Many nonparametric CI tests have been developed, but a common challenge exists: the current methods perform poorly with a high-dimensional conditioning set.
Bingyuan Zhang, Joe Suzuki
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Local dependence in bivariate copulae with Beta marginals
Revista Colombiana de Estadística, 2017 The local dependence function (LDF) describes changes in the correlation structure of continuous bivariate random variables along their range. Bivariate density functions with Beta marginals can be used to model jointly a wide variety of data with ...
Eirini Koutoumanou +2 more
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Local time dependence of polar mesospheric clouds: a model study [PDF]
Atmospheric Chemistry and Physics, 2018 The Mesospheric Ice Microphysics And tranSport model (MIMAS) is used to study local time (LT) variations of polar mesospheric clouds (PMCs) in the Northern Hemisphere during the period from 1979 to 2013. We investigate the tidal behavior of brightness,
F. Schmidt +4 more
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Magnetic local time (MLT) dependence of auroral peak emission height and morphology [PDF]
Annales Geophysicae, 2022 We investigate the bulk behaviour of auroral structures and peak emission height as a function of magnetic local time (MLT). These data are collected from the Fennoscandian Lapland and Svalbard latitudes from seven identical auroral all-sky cameras (ASC)
N. Partamies +4 more
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Modeling local dependence in latent vector autoregressive models.
Biostatistics, 2019 We propose a Bayesian latent vector autoregressive (LVAR) model to analyze multivariate longitudinal data of binary and ordinal variables (items) as a function of a small number of continuous latent variables.
Trung Dung Tran +3 more
semanticscholar +1 more source
Tingkat Ketergantungan Fiskal dan Hubungannya dengan Pertumbuhan Ekonomi di Kota Jambi [PDF]
Jurnal Perspektif Pembiayaan dan Pembangunan Daerah, 2014 This research aims to calculate Fiscal Needs in Jambi City and analyze the level of dependence on Fiscal relations with the Economic Growth in Jambi and see how much the rate dependence of the Fiscal Jambi City to the Central Government.
M.Ariansyah, Amri Amir, Erni Achmad
doaj +2 more sources
Temperature dependence of iron local magnetic moment in phase-separated superconducting chalcogenide [PDF]
, 2014 We have studied local magnetic moment and electronic phase separation in superconducting K$_{x}$Fe$_{2-y}$Se$_2$ by x-ray emission and absorption spectroscopy.
Garbarino, G. +8 more
core +2 more sources
Borderland Location as a Factor of the Development of the Terespol Commune
Studia Ekonomiczne i Regionalne, 2021 Subject and purpose of work: The aim of the study was to determine the significance of the borderland location as a factor in the development of the Terespol commune.
Guzal-Dec Danuta +2 more
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Multiple Imputation of Missing Categorical and Continuous Values via Bayesian Mixture Models With Local Dependence [PDF]
, 2014 We present a nonparametric Bayesian joint model for multivariate continuous and categorical variables, with the intention of developing a flexible engine for multiple imputation of missing values. The model fuses Dirichlet process mixtures of multinomial
Jared S. Murray, Jerome P. Reiter
semanticscholar +1 more source