Handy formulas for binomial moments by Maciej Skorski

“…Despite the relevance of the binomial distribution for probability theory and applied statistical inference, its higher-order moments are poorly understood. …”
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Distributed variational sparse Bayesian compressed sensing based on factor graphs by Cui-tao ZHU, Fan YANG, Han-xin WANG, Zhong-jie LI

“…A distributed variational sparse Bayesian compressed spectrum sensing algorithm based on factor graph was proposed,which decomposed the global spectrum sensing problem into local problem based on factor and variation.Belief propagation was used for the statistical inference of the spectrum occupancy,to implement the “soft fusion”.The temporal and spatial correlation information providing two-dimensional redundancies was exchanged among cooperative cognitive users to improve the detection performance under low SNR.Meanwhile,the algorithm prunes the divergence of hyper-parameters and the corresponding basis functions for reducing the load of communication.The simulation results show that this method can effectively achieve performance of spectrum sensing under a low sampling rate and the low SNR.…”
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Survey on differential privacy and its progress by Zhi-qiang GAO, Yu-tao WANG

“…With the arrival of the era of big data sharing,data privacy protection issues will be highlighted.Since its introduction in 2006,differential privacy technology has been widely researched in data mining and data publishing.In recent years,Google,Apple and other companies have introduced differential privacy technology into the latest products,and differential privacy technology has become the focus of academia and industry again.Firstly,the traditional centralized model of differential privacy was summarized,from the perspective of analysis of data mining and data released in the differential privacy way.Then the latest local differential privacy regarding data collection and data analysis based on the local model was described,involving crowdsourcing with random response technology,BloomFilter,statistical inference techniques.Finally,the main problems and solutions of differential privacy technology were summarized.…”
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Empirical likelihood based heteroscedasticity diagnostics for varying coefficient partially nonlinear models by Cuiping Wang, Xiaoshuang Zhou, Peixin Zhao

“…Heteroscedasticity diagnostics of error variance is essential before performing some statistical inference work. This paper is concerned with the statistical diagnostics for the varying coefficient partially nonlinear model. …”
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Sawdust Ash as Powder Material for Self-Compacting Concrete Containing Naphthalene Sulfonate by Augustine U. Elinwa, Ahmed M. Mamuda

“…The achieved spread and flow time were 26 cm and 8 seconds and are within the specified range of 24 cm to 26 cm and 7 to 11 seconds, respectively. Statistical inference showed that the mix, w/c, and the interaction between the mix and w/c ratio are significant.…”
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Measurement of Interobserver Disagreement: Correction of Cohen’s Kappa for Negative Values by Tarald O. Kvålseth

“…Besides coefficients for the overall disagreement across categories, disagreement coefficients for individual categories are presented. Statistical inference procedures are developed and numerical examples are provided.…”
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A Comprehensive Probabilistic Framework to Learn Air Data from Surface Pressure Measurements by Ankur Srivastava, Andrew J. Meade

“…SFA is presented as a tool capable of nonlinear statistical inference, uncertainty reduction by fusion of data with physical models of variable fidelity, and sequential experiment design. …”
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Environmental management and hotel profitability: operating performance matters by Alp Yenidogan, Tugba Gurcaylilar-Yenidogan, Nilufer Tetik

“…A bootstrap method is employed to make a statistical inference of the causal mediation effects. The data collected from the lodging industry in Antalya/Turkey revealed that the revenue-enhancing and cost-cutting effects of environmental participation have a positive impact on profitability, while no difference was identified in the strength of the indirect effects. …”
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Increased Statistical Efficiency in a Lognormal Mean Model by Grant H. Skrepnek, Ashok Sahai

“…As such, logarithmic transformations are often advocated to achieve the assumptions of parametric statistical inference. Despite this, existing approaches that utilize only a sample’s mean and variance may not necessarily yield the most efficient estimator. …”
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Bayesian modeling of binomial experiments in sociology: problem analysis by A. A. Zvonok

“…The main methodological foundations of application of Bayesian approach in statistics are briefly reviewed: the use of priors in analysis, features of Bayesian statistical inference, differences in frequency and Bayesian confidence intervals, features of hypothesis testing in Bayesian statistics. …”
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Asymptotic behavior of the empirical checkerboard copula process for binary data: An educational presentation by Christian Genest, Johanna G. Nešlehová

“…The empirical multilinear or checkerboard copula process is a promising tool for statistical inference in copula models for data with ties (Genest et al., 2019a). …”
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Paul’s Style and the Problem of the Pastoral Letters: Assessing Statistical Models of Description and Inference by Pracht Erich Benjamin, McCauley Thomas

“…With our approach, we have found a way to utilize Paul’s authentic letters as a standard of measurement by which the style(s) of the Pastorals can be compared, an essential first step to statistical inference that is generally lacking in Pauline stylometry. …”
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Test for Change in Error Variance of Multiple Time Series by Elfred John C. Abacan, Joseph Ryan G. Lansangan, Erniel B. Barrios

“…However, changes in variance of the error structure leads to misspecification of models that complicates statistical inference. Volatility structures may incorporate variance into the time series models, but these can easily lead to overparameterization in multiple time series. …”
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Flexible Lévy-Based Models for Time Series of Count Data with Zero-Inflation, Overdispersion, and Heavy Tails by Confort Kollie, Philip Ngare, Bonface Malenje

“…We propose an extension of the basic stationary framework to capture additional marginal properties, such as heavy-tailedness, in both short-term and long-term dependencies, as well as overdispersion and zero inflation in simultaneous modeling. Statistical inference is based on composite pairwise likelihood. …”
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Maximum Likelihood Inference for Univariate Delay Differential Equation Models with Multiple Delays by Ahmed A. Mahmoud, Sarat C. Dass, Mohana S. Muthuvalu, Vijanth S. Asirvadam

“…This article presents statistical inference methodology based on maximum likelihoods for delay differential equation models in the univariate setting. …”
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Bayesian and non-bayesian inference for logistic-exponential distribution using improved adaptive type-II progressively censored data. by Subhankar Dutta, Hana N Alqifari, Amani Almohaimeed

“…By developing novel statistical inference methods, we can better understand the behavior of failure times, allow for more accurate decision-making, and improve the overall reliability of the model. …”
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Estimating Shape Parameters of Piecewise Linear-Quadratic Problems by Zheng, Peng, Ramamurthy, Karthikeyan Natesan, Aravkin, Aleksandr Y.

“…Piecewise Linear-Quadratic (PLQ) penalties are widely used to develop models in statistical inference, signal processing, and machine learning. …”
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Entropic imprints on bioinformatics by Ismail Mageed

“…The entropic framework is a crucial method in statistical inference that helps scientists create models to describe and predict biological systems, particularly complex networks like gene interactions. …”
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Postpandemic Stress Disorder among Health Care Personnel: A Cross-Sectional Study (Silesia, Poland) by Mateusz Grajek, Patryk Szlacheta, Karolina Sobczyk, Karolina Krupa-Kotara, Beata Łabuz-Roszak, Ilona Korzonek-Szlacheta

“…The probability level was 0.05. Results. Statistical inference made it clear that mental health problems that may indicate trauma are mainly present in the FR group. …”
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Benefits of Dance Therapy in Overweight and Obese Women by Katia Rodríguez Palacios, Isaac Rodríguez Palacios, Lázaro Dionisio Rojas Matsuda, Yarisel López Pérez, Ismaray Sacerio González, Ivis Triana Oquendo

“…The results are presented in tables and graphs and statistical inference tests (difference between means) were applied to determine the differences between each stage with a requirement of 95 %. …”
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