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Parameter Estimation for Some Discretely Observed Class of Stable Driven Stochastic Differential Equations
In this paper, we consider the problem of parameter estimation for a real stochastic model observed at some discrete times, that is a solution of a...
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Generalized Moment Estimators Based on Stein Identities
For parameter estimation of continuous and discrete distributions, we propose a generalization of the method of moments (MM), where Stein identities...
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An index for measuring degree of departure from symmetry for ordinal square contingency tables
For the analysis of square contingency tables with the same row and column ordinal classifications, this study proposes an index for measuring the...
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Some aspects of nonlinear dimensionality reduction
In this paper we discuss nonlinear dimensionality reduction within the framework of principal curves. We formulate dimensionality reduction as...
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A time-varying coefficient rate model with intermittently observed covariates for recurrent event data
In the analysis of recurrent event data, some covariates have time-varying effect such as efficacy of certain treatments, while others are internally...
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Predictive Root Based Bootstrap Prediction Intervals in Neural Network Models for Time Series Forecasting
Time series (TS) modelling is an important area in the domain of statistics, as it enables us to comprehend the dynamics underlying a particular...
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Leveraging Extremal Dependence to Better Characterize the 2021 Pacific Northwest Heatwave
In late June, 2021, a devastating heatwave affected the US Pacific Northwest and western Canada, breaking numerous all-time temperature records by...
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Correlation of powers of Hüsler–Reiss vectors and Brown–Resnick fields, and application to insured wind losses
Hüsler–Reiss vectors and Brown–Resnick fields are popular models in multivariate and spatial extreme-value theory, respectively, and are widely used...
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DeepBiome: A Phylogenetic Tree Informed Deep Neural Network for Microbiome Data Analysis
Evidence linking the microbiome to human health is rapidly growing. The microbiome profile has the potential as a novel predictive biomarker for many...
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Optimal designs for comparing several regression curves
This article is concerned with the optimal design problem of efficient statistical inference for comparing several regression curves estimated from...
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Monitoring mean of INAR(1) process with discrete mixture exponential innovations
This paper presents a discrete counterpart of the mixture exponential distribution, namely discrete mixture exponential distribution, by utilizing...
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Nonparametric estimator of the tail dependence coefficient: balancing bias and variance
A theoretical expression is derived for the mean squared error of a nonparametric estimator of the tail dependence coefficient, depending on a...
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Performance and Optimization Analysis of a Queue with Delayed Uninterrupted Multiple Vacation and N-Policy
This paper considers an M / G /1 queue with delayed uninterrupted multiple vacation and N -policy, in which (i) the server remains dormant from vacation...
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Regression Tree and Clustering for Distributions, and Homogeneous Structure of Population Characteristics
Scientists often collect samples on characteristics of different observation units and wonder whether those characteristics have similar...
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Sieve Estimation of the Additive Hazards Model with Bivariate Current Status Data
In this paper, we study sieve maximum likelihood estimators of both finite and infinite dimensional parameters in the marginal additive hazards...
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Conformal link prediction for false discovery rate control
Most link prediction methods return estimates of the connection probability of missing edges in a graph. Such output can be used to rank the missing...
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Bayesian projection of cohort healthy life expectancies with long-term care insurance data
Over the past few decades, life expectancy has increased across the world. However, such a rise in longevity appears to be accompanied by a decline...
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Leveraging single-case results to Bayesian hierarchical modelling
In scientific research, we often aim to learn one or more parameters of instances(objects) from a population—such as the batting averages of a group...
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A distance based two-sample test of means difference for multivariate datasets
In the paper we present a new test for comparison of the means of multivariate samples with unknown distributions. The test is based on the...
