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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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Statistical inference on representational geometries [PDF]
eLife, 2023 Neuroscience has recently made much progress, expanding the complexity of both neural activity measurements and brain-computational models. However, we lack robust methods for connecting theory and experiment by evaluating our new big models with our new
Heiko H Schütt +3 more
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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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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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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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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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Journal of Forest Science, 2011 Adjacency constraints can be represented by Moore or Neumann neighbourhood adjacency, depending upon how candidate neighbours are assigned at corners adjacent to the target cell.
M. Konoshima, R. Marušák, A. Yoshimoto
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