Results 31 to 40 of about 617,206 (220)
Statistics, Probability, and a Failed Conservation Policy
Statistics and Public Policy, 2019 Many sightings of the Ivory-billed Woodpecker (Campephilus principalis) have been reported during the past several decades, but nobody has managed to obtain the clear photo that is regarded as the standard form of evidence for documenting birds.
Michael D. Collins
semanticscholar +1 more source
Risks, 2020 We present general conditions for the weak convergence of a discrete-time additive scheme to a stochastic process with memory in the space D [ 0 , T ] . Then we investigate the convergence of the related multiplicative scheme to a process that can
Yuliya Mishura +2 more
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Statistical Aspects of High-Dimensional Sparse Artificial Neural Network Models
Machine Learning and Knowledge Extraction, 2020 An artificial neural network (ANN) is an automatic way of capturing linear and nonlinear correlations, spatial and other structural dependence among features. This machine performs well in many application areas such as classification and prediction from
Kaixu Yang, Tapabrata Maiti
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Predicting SARS-CoV-2 infection among hemodialysis patients using deep neural network methods
Scientific ReportsCOVID-19 has a higher rate of morbidity and mortality among dialysis patients than the general population. Identifying infected patients early with the support of predictive models helps dialysis centers implement concerted procedures (e.g., temperature ...
Lihao Xiao +6 more
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An Analysis of Implied Volatility, Sensitivity, and Calibration of the Kennedy Model
MathematicsThe Kennedy model provides a flexible and mathematically consistent framework for modeling the term structure of interest rates, leveraging Gaussian random fields to capture the dynamics of forward rates.
Dalma Tóth-Lakits +2 more
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On Drift Parameter Estimation in Models with Fractional Brownian Motion by Discrete Observations
Austrian Journal of Statistics, 2014 We study a problem of an unknown drift parameter estimation in a stochastic differen- tial equation driven by fractional Brownian motion. We represent the likelihood ratio as a function of the observable process.
Yuliya Mishura, Kostiantyn Ralchenko
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Investigation of sample paths properties for some classes of φ-sub-Gaussian stochastic processes
Modern Stochastics: Theory and Applications, 2021 This paper investigates sample paths properties of φ-sub-Gaussian processes by means of entropy methods. Basing on a particular entropy integral, we treat the questions on continuity and the rate of growth of sample paths.
Olha Hopkalo, Lyudmyla Sakhno
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Treatment Level and Store Level Analyses of Healthcare Data
Risks, 2019 The presented research discusses general approaches to analyze and model healthcare data at the treatment level and at the store level. The paper consists of two parts: (1) a general analysis method for store-level product sales of an organization and (2)
Kaiwen Wang +5 more
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Nature CommunicationsIn spatial transcriptomics, tissue samples are randomly positioned. Rotation-sensitive methods can lead to unreliable spatially variable gene (SVG) detection.
Haohao Su, Yuehua Cui
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Canadian Journal of Gastroenterology, 1996 Standard therapeutic approaches to acid peptic disorders have dealt with neutralizing or inhibiting aggressive factors and/or bolstering defensive factors.
WR Yacoub +3 more
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