Results 1 to 10 of about 967,632 (327)

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, Alexander D Kipnis, Jörn Diedrichsen, Nikolaus Kriegeskorte   +3 more
doaj   +7 more sources

On Quantum Statistical Inference, I [PDF]

Journal of the Royal Statistical Society Series B: Statistical Methodology, 2003
Recent developments in the mathematical foundations of quantum mechanics have brought the theory closer to that of classical probability and statistics. On the other hand, the unique character of quantum physics sets many of the questions addressed apart
Amari, Aspect, Banaszek, Barndorff-Nielsen, Barndorff-Nielsen, Barndorff-Nielsen, Barndorff-Nielsen, Barndorff-Nielsen, Barndorff-Nielsen, Barndorff-Nielsen, Barndorff-Nielsen, Barndorff-Nielsen, Belavkin, Belavkin, Bell, Bennett, Biane, Biane, Brandt, Braunstein, Christensen, Christensen, Cox, D'Ariano, D'Ariano, D'Ariano, D'Ariano, Davies, Davies, Feynman, Franz, Fujiwara, Gardiner, Gill, Gill, Gill, Gill, Gilmore, Hannemann, Helstrom, Holevo, Holevo, Holevo, Isham, Keyl, Kraus, Leonhardt, Loubenets, Malley, Matsumoto, Meyer, Mooij, Mølmer, Nielsen, Ozawa, Percival, Peres, Weihs, Williams, Wiseman, Young   +60 more
core   +9 more sources

Statistical Inference

SSRN Electronic Journal, 2018
ACM Lecture Notes, 145 pages, 79 ...
Angela Potochnik, Matteo Colombo, Cory Wright   +2 more
  +5 more sources

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, Kengo Nagashima, Shogo Kato, Satoshi Teramukai, Toshi A. Furukawa   +4 more
doaj   +1 more source

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
doaj   +1 more source

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, Andrea Pagnani, Martin Weigt, Francesco Zamponi   +3 more
doaj   +1 more source

Spatio-temporal categorization for first-person-view videos using a convolutional variational autoencoder and Gaussian processes

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, Tomoaki Nakamura, Takayuki Nagai, Takayuki Nagai, Daichi Mochihashi, Ichiro Kobayashi   +5 more
doaj   +1 more source

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 ...
openaire   +5 more sources

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, Jordi Vila-Valls, Javier Arribas, Antonio Ramos   +3 more
doaj   +1 more source

Spatially constrained harvest scheduling for strip allocation under Moore and Neumann neighbourhood adjacency

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
doaj   +1 more source