Results 1 to 10 of about 214,513 (262)
On the conditional distribution of a multivariate Normal given a transformation – the linear case [PDF]
Heliyon, 2019 We show that the orthogonal projection operator onto the range of the adjoint T⁎ of a linear operator T can be represented as UT, where U is an invertible linear operator. Given a Normal random vector Y and a linear operator T, we use this representation
Rajeshwari Majumdar, Suman Majumdar
doaj +2 more sources
Conditional Inference in Small Sample Scenarios Using a Resampling Approach
Stats, 2021 This paper discusses a non-parametric resampling technique in the context of multidimensional or multiparameter hypothesis testing of assumptions of the Rasch model.
Clemens Draxler, Andreas Kurz
doaj +1 more source
A Systematic Review of INGARCH Models for Integer-Valued Time Series
Entropy, 2023 Count time series are widely available in fields such as epidemiology, finance, meteorology, and sports, and thus there is a growing demand for both methodological and application-oriented research on such data.
Mengya Liu +3 more
doaj +1 more source
Mathematics, 2021 Volatility is the degree of variation in the stock price over time. The stock price is volatile due to many factors, such as demand, supply, economic policy, and company earnings. Investing in a volatile market is riskier for stock traders.
Nagaraj Naik, Biju R. Mohan
doaj +1 more source
Uniform Consistency for Functional Conditional U-Statistics Using Delta-Sequences
Mathematics, 2022 U-statistics are a fundamental class of statistics derived from modeling quantities of interest characterized by responses from multiple subjects. U-statistics make generalizations the empirical mean of a random variable X to the sum of all k-tuples of X
Salim Bouzebda, Amel Nezzal, Tarek Zari
doaj +1 more source
Sichuan jingshen weisheng, 2021 The purpose of this article was to introduce the odds ratio analysis method of g×2×2 table data and the calculation method based on SAS software. The contents included the following aspects： firstly， the homogeneity test of the odds ratio of the data in ...
Hu Chunyan, Hu Liangping
doaj +1 more source
CoSinGAN: Learning COVID-19 Infection Segmentation from a Single Radiological Image
Diagnostics, 2020 Computed tomography (CT) images are currently being adopted as the visual evidence for COVID-19 diagnosis in clinical practice. Automated detection of COVID-19 infection from CT images based on deep models is important for faster examination ...
Pengyi Zhang +4 more
doaj +1 more source
Explaining predictive models using Shapley values and non-parametric vine copulas
Dependence Modeling, 2021 In this paper the goal is to explain predictions from complex machine learning models. One method that has become very popular during the last few years is Shapley values.
Aas Kjersti +3 more
doaj +1 more source
Vestnik KRAUNC: Fiziko-Matematičeskie Nauki, 2021 В данной работе рассматриваются ветвящиеся случайные процессы с дискретным временем в двух предположениях: в начальный момент времени имеется одна частица или в начальный момент времени существует большое число частиц.
Жураев, Ш.Ю., Алиев, А.Ф.
doaj +1 more source
A Non-parametric Method for Calculating Conditional Stressed Value at Risk
Статистика и экономика, 2017 We consider the Value at Risk (VaR) of a portfolio under stressed conditions. In practice, the stressed VaR (sVaR) is commonly calculated using the data set that includes the stressed period.
Kohei Marumo
doaj +3 more sources