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The Variance Profile [PDF]

The variance profile is defined as the power mean of the spectral density function of a stationary stochastic process. It is a continuous and non-decreasing function of the power parameter, p, which returns the minimum of the spectrum (p → −∞), the ...
Luati, Alessandra, Proietti, Tommaso, Reale, Marco   +2 more
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Tefsirde İhtilaf Karşıtı Söylemin Tahlil ve Tenkidi

Sakarya Üniversitesi İlahiyat Fakültesi Dergisi, 2019
Fiilî bir durum olarak tarih boyunca hep var olan tefsir ihtilaflarının zaman zaman kısıtlanma ya da olumsuz gösterilme çabalarına maruz kaldığı görülmektedir. Ebu’l-Abbas Taḳıyyuddîn İbn Teymiyye (ö.
Bayram Demircigil
doaj   +1 more source

Application of early warning signs to physiological contexts: a comparison of multivariate indices in patients on long-term hemodialysis

Frontiers in Network Physiology
Early warnings signs (EWSs) can anticipate abrupt changes in system state, known as “critical transitions,” by detecting dynamic variations, including increases in variance, autocorrelation (AC), and cross-correlation.
Véronique Legault, Yi Pu, Els Weinans, Alan A. Cohen, Alan A. Cohen   +4 more
doaj   +1 more source

Online Variance Reduction for Stochastic Optimization

, 2018
Modern stochastic optimization methods often rely on uniform sampling which is agnostic to the underlying characteristics of the data. This might degrade the convergence by yielding estimates that suffer from a high variance.
Borsos, Zalán, Krause, Andreas, Levy, Kfir Y.   +2 more
core  

Variance inflation is not the same as variance overestimation [PDF]

Journal of Clinical Epidemiology, 2017
Tibor, Schuster, Wilfrid Kouokam, Lowe, Robert W, Platt   +2 more
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Variance, norms and cooperative behavior in public goods games

Frontiers in Psychology
This study examines the relationship between the variance of others’ contributions, social norms (empirical and normative expectations), and cooperative behavior using a classic linear public goods game. The following results are observed.
Guangrong Wang, Guangrong Wang, Jianbiao Li, Jianbiao Li, Wenhua Wang, Wenhua Wang, Yue Wang, Jiafeng Wang   +7 more
doaj   +1 more source

The mean-variance model from the inverse of the variance-covariance matrix [PDF]

In this paper we obtain the main results of the Markowitz mean-variance model from the inverse of the covariance matrix, following a shorter and mathematically rigorous path.
Jordi Esteve Comas, Manuel Fernandez Lopez   +1 more
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Determination of Collective Premiums for Seven Benefits of BPJS Employment Insurance JKK Program Using Poisson-Normal Aggregate Distribution

International Journal of Business, Economics, and Social Development
Work Accident Insurance (JKK) is one of the programs of the Social Security Administering Agency (BPJS) for Employment. Insurance brokers need to make an initial estimate of the premium to determine the collective premium for JKK.
Nazla Aqira Maghfirani, Rizki Apriva Hidayana   +1 more
doaj   +1 more source

Accelerated Stochastic ADMM with Variance Reduction

, 2018
Alternating Direction Method of Multipliers (ADMM) is a popular method in solving Machine Learning problems. Stochastic ADMM was firstly proposed in order to reduce the per iteration computational complexity, which is more suitable for big data problems.
Qian, Hui, Shen, Zebang, Zhang, Chao, Zhou, Jianya, Zhou, Jianying, Zhou, Tengfei   +5 more
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Sequential Tests for Variance Ratios and Components of Variance

The Annals of Mathematical Statistics, 1958
A general sequential sampling method is given for problems of comparing the variances of two or more normal populations in terms of ratios of variances. Sequential tests are given for a hypothesis specifying the ratio of two variances, including tests for variance components in the analysis of variance (Model II).
openaire   +2 more sources