Results 31 to 40 of about 510,206 (276)

On distribution of the depth index on perfect matchings [PDF]

open access: yesarXiv, 2022
We study the restriction of depth index statistic on the set of perfect matchings. In particular, we provide additional combinatorial description of the statistic for perfect matchings and calculate the generating polynomial. The main result of the present short paper is that the depth index on perfect matchings is equidistributed with the rank ...
arxiv  

Probability matching priors for some parameters of the bivariate normal distribution [PDF]

open access: yesIMS Collections 2008, Vol. 3, 71-81, 2008
This paper develops some objective priors for certain parameters of the bivariate normal distribution. The parameters considered are the regression coefficient, the generalized variance, and the ratio of the conditional variance of one variable given the other to the marginal variance of the other variable. The criterion used is the asymptotic matching
arxiv   +1 more source

On predictive probability matching priors [PDF]

open access: yesIMS Collections 2008, Vol. 3, 46-59, 2008
We revisit the question of priors that achieve approximate matching of Bayesian and frequentist predictive probabilities. Such priors may be thought of as providing frequentist calibration of Bayesian prediction or simply as devices for producing frequentist prediction regions.
arxiv   +1 more source

Forecasting football matches by predicting match statistics [PDF]

open access: yesarXiv, 2020
This paper considers the use of observed and predicted match statistics as inputs to forecasts of the outcomes of football matches. It is shown that, were it possible to know the match statistics in advance, highly informative forecasts of the match outcome could be made.
arxiv  

Large Sample Properties of Matching for Balance [PDF]

open access: yes, 2019
Matching methods are widely used for causal inference in observational studies. Among them, nearest neighbor matching is arguably the most popular. However, nearest neighbor matching does not generally yield an average treatment effect estimator that is $\sqrt{n}$-consistent (Abadie and Imbens, 2006).
arxiv   +1 more source

Refining the NaV1.7 pharmacophore of a class of venom‐derived peptide inhibitors via a combination of in silico screening and rational engineering

open access: yesFEBS Letters, EarlyView.
Venom peptides have shown promise in treating pain. Our study uses computer screening to identify a peptide that targets a sodium channel (NaV1.7) linked to chronic pain. We produced the peptide in the laboratory and refined its design, advancing the search for innovative pain therapies.
Gagan Sharma   +8 more
wiley   +1 more source

To maximize or randomize? An experimental study of probability matching in financial decision making.

open access: yesPLoS ONE, 2021
Probability matching, also known as the "matching law" or Herrnstein's Law, has long puzzled economists and psychologists because of its apparent inconsistency with basic self-interest.
Andrew W Lo   +2 more
doaj   +1 more source

Testing Biased Randomization Assumptions and Quantifying Imperfect Matching and Residual Confounding in Matched Observational Studies [PDF]

open access: yesarXiv, 2021
One central goal of design of observational studies is to embed non-experimental data into an approximate randomized controlled trial using statistical matching. Despite empirical researchers' best intention and effort to create high-quality matched samples, residual imbalance due to observed covariates not being well matched often persists.
arxiv  

Identification of functional and diverse circulating cancer‐associated fibroblasts in metastatic castration‐naïve prostate cancer patients

open access: yesMolecular Oncology, EarlyView.
Cancer‐associated fibroblasts (CAFs) promote cancer growth, invasion (metastasis), and drug resistance. Here, we identified functional and diverse circulating CAFs (cCAFs) in patients with metastatic prostate cancer (mPCa). cCAFs were found in higher numbers and were functional and diverse in mPCa patients versus healthy individuals, suggesting their ...
Richell Booijink   +6 more
wiley   +1 more source

Matching Algorithm of Statistical Optimization Feature Based on Grid Method

open access: yesXibei Gongye Daxue Xuebao, 2019
The matching algorithm based on image feature points is widely used in image retrieval, target detection, identification and other image processing fields.

doaj   +1 more source

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