Results 11 to 20 of about 3,294,315 (307)
On Evolution of Statistical Inference [PDF]
Journal of Statistical Theory and Applications (JSTA), 2018 The foundations of statistics have evolved over many centuries, perhaps millennia, with major paradigm shifts of the form described in Kuhn (1962). We briefly consider these important transitions and how they have led to major shifts in the foundations ...
DAS Fraser
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Trustworthiness of Statistical Inference [PDF]
Journal of the Royal Statistical Society Series A: Statistics in Society, 2021 Abstract We examine the role of trustworthiness and trust in statistical inference, arguing that it is the extent of trustworthiness in inferential statistical tools which enables trust in the conclusions. Certain tools, such as the p-value and significance test, have recently come under renewed criticism, with some arguing that they ...
Hand, David
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Explainability as statistical inference [PDF]
CoRR, 2022 10 pages, 22 figures, published at ICLR ...
Senetaire, Hugo Henri Joseph +3 more
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Meta-analysis Using Flexible Random-effects Distribution Models
Journal of Epidemiology, 2022 Background: In meta-analysis, the normal distribution assumption has been adopted in most systematic reviews of random-effects distribution models due to its computational and conceptual simplicity.
Hisashi Noma +4 more
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An analysis of hot‐started ADMM for linear MPC
IET Control Theory & Applications, 2021 A convergence analysis of the alternating direction method of multipliers (ADMM) for linear model predictive control (MPC) problems with regularization terms is addressed here.
Mitsuru Toyoda, Mirai Tanaka
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adabmDCA: adaptive Boltzmann machine learning for biological sequences
BMC Bioinformatics, 2021 Background Boltzmann machines are energy-based models that have been shown to provide an accurate statistical description of domains of evolutionary-related protein and RNA families.
Anna Paola Muntoni +3 more
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El: A Program for Ecological Inference [PDF]
, 2010 The program EI provides a method of inferring individual behavior from aggregate data. It implements the statistical procedures, diagnostics, and graphics from the book A Solution to the Ecological Inference Problem: Reconstructing Individual Behavior ...
King, Gary
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Frontiers in Robotics and AI, 2022 In this study, HcVGH, a method that learns spatio-temporal categories by segmenting first-person-view (FPV) videos captured by mobile robots, is proposed.
Masatoshi Nagano +5 more
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Statistical Inference in Games [PDF]
Econometrica, 2020 We consider statistical inference in games. Each player obtains a small random sample of other players' actions, uses statistical inference to estimate their actions, and chooses an optimal action based on the estimate. In a sampling equilibrium with statistical inference (SESI), the sample is drawn from the distribution of players' actions based on ...
Salant, Yuval, Cherry, Josh
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Continuous Reproducibility in GNSS Signal Processing
IEEE Access, 2018 This paper discusses the reproducibility of scientific experiments in which global navigation satellite system (GNSS) signals play a role. After analyzing the factors that impact the reproducibility of an experiment in the given context, this paper ...
Carles Fernandez-Prades +3 more
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