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This paper studies the problem of testing whether a system of linear equality and inequality constraints admits a solution when the coefficients of that system may have to be estimated. We show that a wide range of inferential questions in…

Econometrics · Economics 2026-05-11 Leonard Goff , Eric Mbakop

A boson sampling device is a specialised quantum computer that solves a problem which is strongly believed to be computationally hard for classical computers. Recently a number of small-scale implementations have been reported, all based on…

Qualifying gene and isoform expression is one of the primary tasks for RNA-Seq experiments. Given a sequence of counts representing numbers of reads mapped to different positions (exons and junctions) of isoforms, methods based on Poisson…

Applications · Statistics 2014-10-27 Jun Li , Hui Jiang

Prediction of individual's race and ethnicity plays an important role in social science and public health research. Examples include studies of racial disparity in health and voting. Recently, Bayesian Improved Surname Geocoding (BISG),…

Machine Learning · Statistics 2022-09-02 Kosuke Imai , Santiago Olivella , Evan T. R. Rosenman

We introduce equivalence testing procedures for linear regression analyses. Such tests can be very useful for confirming the lack of a meaningful association between a continuous outcome and a continuous or binary predictor. Specifically,…

Methodology · Statistics 2023-05-17 Harlan Campbell

This paper explores conditions of existence of different types of consistent tests. New links of these types of consistency are also established. The existence of discernible (strong consistent) tests follows from the existence of pointwise…

Statistics Theory · Mathematics 2015-04-22 Mikhail Ermakov

Factorial designs are often used in various industrial and sociological experiments to identify significant factors and factor combinations that may affect the process response. In the statistics literature, several studies have…

Methodology · Statistics 2020-12-16 Pratishtha Batra , Neil A. Spencer , Pritam Ranjan

We introduce an improved version of RECKONER, an error corrector for Illumina whole genome sequencing data. By modifying its workflow we reduce the computation time even 10 times. We also propose a new method of determination of $k$-mer…

Genomics · Quantitative Biology 2017-03-03 Maciej Dlugosz , Sebastian Deorowicz , Marek Kokot

We show that the One-way ANOVA and Tukey-Kramer (TK) tests agree on any sample with two groups. This result is based on a simple identity connecting the Fisher-Snedecor and studentized probabilistic distributions and is proven without any…

Statistics Theory · Mathematics 2021-05-25 Vladimir Gurvich , Mariya Naumova

Repeating an imperfect biomarker test based on an initial result can introduce bias and influence misclassification risk. For example, in some blood donation settings, blood donors' hemoglobin is remeasured when the initial measurement…

Applications · Statistics 2026-02-17 Supun Manathunga , Mart P. Janssen , Yu Luo , W. Alton Russell , Mart Pothast

This paper considers the problem of testing temporal homogeneity of $p$-dimensional population mean vectors from the repeated measurements of $n$ subjects over $T$ times. To cope with the challenges brought by high-dimensional longitudinal…

Methodology · Statistics 2016-08-29 Ping-Shou Zhong , Jun Li

In this paper, we are concerned with the independence test for $k$ high-dimensional sub-vectors of a normal vector, with fixed positive integer $k$. A natural high-dimensional extension of the classical sample correlation matrix, namely…

Statistics Theory · Mathematics 2014-10-21 Zhigang Bao , Jiang Hu , Guangming Pan , Wang Zhou

Traditional white noise testing, for example the Ljung-Box test, studies only the autocorrelation function (ACF). Time series can be heteroscedastic and therefore not i.i.d. but still white noise (that is, with zero ACF). An example of…

Statistics Theory · Mathematics 2022-03-25 Andrey Sarantsev

We engineer a new probabilistic Monte-Carlo algorithm for isomorphism testing. Most notably, as opposed to all other solvers, it implicitly exploits the presence of symmetries without explicitly computing them. We provide extensive…

Data Structures and Algorithms · Computer Science 2020-11-19 Markus Anders , Pascal Schweitzer

We propose a method to probe the homogeneity of a general universe, without assuming symmetry. We show that isotropy can be tested at remote locations on the past lightcone by comparing the line-of-sight and transverse expansion rates,…

Cosmology and Nongalactic Astrophysics · Physics 2019-06-05 Raul Jimenez , Roy Maartens , Ali Rida Khalifeh , Robert R. Caldwell , Alan F. Heavens , Licia Verde

We consider the weak detection problem in a rank-one spiked Wigner data matrix where the signal-to-noise ratio is small so that reliable detection is impossible. We propose a hypothesis test on the presence of the signal by utilizing the…

Statistics Theory · Mathematics 2022-06-28 Hye Won Chung , Ji Oon Lee

Analyses and visualizations by the ISSCOR method of influenza virus hemagglutinin genes of different A-subtypes revealed some rather striking temporal relationships between groups of individual gene subsets. Based on these findings we…

Genomics · Quantitative Biology 2013-11-11 Jan P. Radomski , Piotr P. Slonimski , Włodzimierz Zagórski-Ostoja , Piotr Borowicz

We propose a simple and intuitive test for arguably the most prevailing hypothesis in statistics that data are independent and identically distributed (IID), based on a newly introduced off-diagonal sequential U-process. This IID test is…

Methodology · Statistics 2025-06-30 Tongyu Li , Jonas Mueller , Fang Yao

In this paper, we propose a statistical test to determine whether a given word is used as a polysemic word or not. The statistic of the word in this test roughly corresponds to the fluctuation in the senses of the neighboring words a nd the…

Data Structures and Algorithms · Computer Science 2017-09-27 Kana Oomoto , Haruka Oikawa , Eiko Yamamoto , Mitsuo Yoshida , Masayuki Okabe , Kyoji Umemura

Biomarker testing is a laboratory test in oncology that is used in the selection of targeted cancer treatments and helping to avoid ineffective treatments. There exist several types of biomarker tests that can be used to detect the presence…

Quantitative Methods · Quantitative Biology 2022-10-05 Marzieh Soltanolkottabi , Hadi A. Khorshidi , Maarten J. IJzerman
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