Results 101 to 110 of about 11,564,095 (404)
On infinite generativeness of quinary fractions in a class of probability transformers
Известия высших учебных заведений. Поволжский регион: Физико-математические науки, 2021 Background. The object of the research is the expressibility of rational probabilities by transforming random variables with distributions from some initial set by Boolean functions.
E.E. Trifonova
doaj +1 more source
Randomization as an Instrumental Variable [PDF]
The Review of Economics and Statistics, 1995 This paper discusses how randomized social experiments operate as an instrumental variable. For two types of randomization schemes, the fundamental experimental estimation equations are derived from the principle that experiments equate bias in control and experimental samples.
openaire +2 more sources
Molecular Oncology, EarlyView.Breast tumor samples scored for metabolic deregulation (M1 to M3) were given a hypoxia score (HS). The highest HS occurred in patients with strongest metabolic deregulation (M3), supporting tumor aggressiveness. HS correlated with the highest number of metabolic pathways in M1. This suggests hypoxia to be an early event in metabolic deregulation.
Raefa Abou Khouzam +2 more
wiley +1 more source
Bayesian statistics and Monte Carlo methods
Journal of Geodetic Science, 2018 The Bayesian approach allows an intuitive way to derive the methods of statistics. Probability is defined as a measure of the plausibility of statements or propositions. Three rules are sufficient to obtain the laws of probability.
Koch K. R.
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Kernel Density Estimation of White Noise for Non-diversifiable Risk in Decision Making
Journal of Risk Analysis and Crisis Response (JRACR), 2020 Many businesses make profit yearly and tend to invest some of the profit so that they can cushion their organizations against any future unknown events that can affect their current profit making. Since future happenings in businesses cannot be predicted
Emma Anyika Shileche +2 more
doaj +1 more source
An AUC-based permutation variable importance measure for random forests
BMC Bioinformatics, 2013 BackgroundThe random forest (RF) method is a commonly used tool for classification with high dimensional data as well as for ranking candidate predictors based on the so-called random forest variable importance measures (VIMs). However the classification
Silke Janitza, C. Strobl, A. Boulesteix
semanticscholar +1 more source
Crosstalk between gut microbiota and tumor: tumors could cause gut dysbiosis and metabolic imbalance
Molecular Oncology, EarlyView.In this research, we analyzed the relationship between gut microbiota and tumor. We discovered that both subcutaneous and metastatic tumors would alter the composition and metabolic function of gut microbiota. Meanwhile, fecal microbiota transplantation also indicated the anti‐tumor role of the gut microbiota, revealing the crosstalk between tumor and ...
Siyuan Zhang +8 more
wiley +1 more source
Random Forests: some methodological insights [PDF]
, 2008 This paper examines from an experimental perspective random forests, the increasingly used statistical method for classification and regression problems introduced by Leo Breiman in 2001.
Genuer, Robin +2 more
core +3 more sources
Large-scale Nonlinear Variable Selection via Kernel Random Features
, 2018 We propose a new method for input variable selection in nonlinear regression. The method is embedded into a kernel regression machine that can model general nonlinear functions, not being a priori limited to additive models.
A Beck +20 more
core +1 more source
On a $ψ_1$ - norm estimate of sum of dependent random variables using simple random walk on graph [PDF]
arXiv, 2018 We obtained a $\psi_1$ estimate for the sum of Rademacher random variables under condition that they are dependent.
arxiv