Results 1 to 10 of about 246,830 (301)

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   +2 more sources

Statistical inference with large-scale trait imputation. [PDF]

Stat Med, 2023
Ren J, Pan W.
europepmc   +2 more sources

Using Hierarchical Bayesian Modeling to Enhance Statistical Inference on Contrast Sensitivity. [PDF]

Transl Vis Sci Technol
Zhao Y, Lesmes LA, Dorr M, Lu ZL.
europepmc   +3 more sources

Statistical inference

SSRN Electronic Journal, 2018
ACM Lecture Notes, 145 pages, 79 ...
Angela Potochnik, Matteo Colombo, Cory Wright   +2 more
  +9 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

Statistical Inference

Journal of the Royal Statistical Society Series B: Statistical Methodology, 1953
Summary The subject matter of mathematical statistics may be divided into two parts, the theory of probability and the theory of inference. The first is concerned with deductions from the population to the sample; the second with inferences from the sample to the population, and may further be subdivided into the design and analysis of ...
Helen M. Walker, Joseph Lev
openaire   +2 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