Results 21 to 30 of about 483 (131)
Saddlepoint approximations as smoothers [PDF]
Biometrika, 2002 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Davison, A. C., Wang, Suojin
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A Simulation Study to Explore Inference about Global Moran's I with Random Spatial Indexes
Geographical Analysis, Volume 55, Issue 4, Page 621-650, October 2023., 2023 Inference procedures for spatial autocorrelation statistics assume that the underlying configurations of spatial units are fixed. However, sometimes this assumption can be disadvantageous, for example, when analyzing social media posts or moving objects.
René Westerholt
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Improved inference for a boundary parameter
Canadian Journal of Statistics, Volume 51, Issue 3, Page 780-799, September 2023., 2023 Abstract The limiting distributions of statistics used to test hypotheses about parameters on the boundary of their domains may provide very poor approximations to the finite‐sample behaviour of these statistics, even for very large samples. We review theoretical work on this problem, describe hard and soft boundaries and iceberg estimators, and give ...
Soumaya Elkantassi +3 more
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Origin of the Bürgi‐Dunitz Angle
ChemPhysChem, Volume 24, Issue 17, September 1, 2023., 2023 Everybody likes Bürgi‐Dunitz! Quantitative bonding analyses show that the obtuse Bürgi‐Dunitz trajectory is favored over the perpendicular approach of a nucleophile to carbonyl group by each key bonding term: i) electrostatic interactions; ii) Pauli repulsion between nucleophile HOMO and ketone π(C=O); and iii) HOMO(nucleophile)‐π*(C=O) LUMO orbital ...
Humberto A. Rodríguez +2 more
wiley +1 more source
Online deep Bingham network for probabilistic orientation estimation
IET Computer Vision, Volume 17, Issue 6, Page 663-675, September 2023., 2023 In terms of computation overhead of the Bingham normalisation constant and uncertain choice of the loss function, we present an online deep Bingham network to estimate the orientation of objects and give theorems of the chosen loss function. The result shows that our method outperforms the state‐of‐the‐art in orientation accuracy and time efficiency ...
Wenjie Li +6 more
wiley +1 more source
Latent multinomial models for extended batch‐mark data
Biometrics, Volume 79, Issue 3, Page 2732-2742, September 2023., 2023 Abstract Batch marking is common and useful for many capture–recapture studies where individual marks cannot be applied due to various constraints such as timing, cost, or marking difficulty. When batch marks are used, observed data are not individual capture histories but a set of counts including the numbers of individuals first marked, marked ...
Wei Zhang +2 more
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Statistics in Medicine, Volume 42, Issue 16, Page 2746-2759, 20 July 2023., 2023 We investigate saddlepoint approximations of tail probabilities of the score test statistic in logistic regression for genome‐wide association studies. The inaccuracy in the normal approximation of the score test statistic increases with increasing imbalance in the response and with decreasing minor allele counts.
Pål V. Johnsen +4 more
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An Upper Bound on the Error Induced by Saddlepoint Approximations—Applications to Information Theory
Entropy, 2020 This paper introduces an upper bound on the absolute difference between: ( a ) the cumulative distribution function (CDF) of the sum of a finite number of independent and identically distributed random variables with finite absolute third moment;
Dadja Anade +3 more
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Statistics in Medicine, Volume 42, Issue 16, Page 2760-2776, 20 July 2023., 2023 A robust and fast two‐sample test for equal Pearson correlation coefficients (PCCs) is important in solving many biological problems, including, for example, analysis of differential co‐expression. However, few existing methods for this test can achieve robustness against deviation from normal distributions, accuracy under small sample sizes, and ...
Liang He +4 more
wiley +1 more source
Fast and accurate recurrent event analysis for genome‐wide association studies
Genetic Epidemiology, Volume 47, Issue 5, Page 365-378, July 2023., 2023 Abstract Many diseases recur after recovery, for example, recurrences in cancer and infections. However, research is often focused on analysing only time‐to‐first recurrence, thereby ignoring any subsequent recurrences that may occur after the first.
Jasper P. Hof +3 more
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