Results 91 to 100 of about 24,864 (292)

Takeuchi's Information Criteria as a form of Regularization

, 2018
Takeuchi's Information Criteria (TIC) is a linearization of maximum likelihood estimator bias which shrinks the model parameters towards the maximum entropy distribution, even when the model is mis-specified.
Dixon, Matthew, Ward, Tyler
core   +1 more source

Ridge, a computer program for calculating ridge regression estimates /

, 1977
Least-squares coefficients for multiple-regression models may be unstable when the independent variables are highly correlated. Ridge regression is a biased estimation procedure that produces stable estimates of the coefficients. Ridge regression is discussed, and a computer program for calculating the ridge coefficients is presented.
Donald E. Hilt, Donald W. Seegrist
openaire   +2 more sources

Single‐Cell Profiling Across Immune Tissues and Organs Reveals Immunosenescence Signatures in Male Rhesus Monkeys

Advanced Science, EarlyView.
Single‐cell profiling across bone marrow, spleen, mesenteric lymph, and blood in rhesus monkeys reveals organ Immunosenescence. GZMB rises with age, particularly in cytotoxic and terminally exhausted CD8+ T cells, and BHLHE40 emerges as a key transcription factor enriched across multiple CD8+ subsets, regulating pro‐inflammatory and exhaustion‐related ...
Shengnan Wang, Zhengna Zhu, Hongju Yang, Yaping Yan, Luyao Ran, Naixue Yang, Yichao Wang, Li Wu, Bing Bai, Weizhi Ji, Wei Si   +10 more
wiley   +1 more source

Difference based Ridge and Liu type Estimators in Semiparametric Regression Models [PDF]

We consider a difference based ridge regression estimator and a Liu type estimator of the regression parameters in the partial linear semiparametric regression model, y = Xβ + f + ε.
Esra Akdeniz Duran, Maria Osipenko, Wolfgang Karl Härdle   +2 more
core  

Divide and Conquer Kernel Ridge Regression: A Distributed Algorithm with Minimax Optimal Rates [PDF]

, 2014
We establish optimal convergence rates for a decomposition-based scalable approach to kernel ridge regression. The method is simple to describe: it randomly partitions a dataset of size N into m subsets of equal size, computes an independent kernel ridge
Duchi, John C., Wainwright, Martin J., Zhang, Yuchen   +2 more
core  

Protease‐Activated Plasmonic Nanosensors for Predictive Ultrasound‐Guided Photoacoustic Imaging of Tumor Responses to Adoptive T Cell Therapy

Advanced Science, EarlyView.
Protease‐activated plasmonic nanosensors are demonstrated to noninvasively monitor antitumor T cell activity in tumors with anatomical information upon adoptive T cell transfer via ultrasound‐guided photoacoustic imaging. These nanosensors are actuated by granzyme B, a protease secreted by activated cytotoxic T cells during tumor cell killing, which ...
Myeongsoo Kim, Seoyoon Song, Ali Zamat, Paul S. Pelkowski, Shivashankar Subramanian, Melissa Cadena, Sydney Fabrega, Meredith Brienen, Jinhwan Kim, Gabriel A. Kwong, Stanislav Y. Emelianov   +10 more
wiley   +1 more source

The Distribution of Stochastic Shrinkage Parameters in Ridge Regression [PDF]

In this article we derive the density and distribution functions of the stochastic shrinkage parameters of three well-known operational Ridge Regression estimators by assuming normality. The stochastic behavior of these parameters is likely to affect the
Hernán Rubio, Luis Firinguetti
core  

Optimum Statistical Estimation with Strategic Data Sources [PDF]

, 2015
We propose an optimum mechanism for providing monetary incentives to the data sources of a statistical estimator such as linear regression, so that high quality data is provided at low cost, in the sense that the sum of payments and estimation error is ...
Cai, Yang, Daskalakis, Constantinos, Papadimitriou, Christos H.   +2 more
core   +1 more source

Targeting IL27RA Enhances Immunotherapy in Triple‐Negative Breast Cancer by Modulating Tumor Cells and the Tumor Microenvironment

Advanced Science, EarlyView.
IL27RA upregulation drives immune evasion in TNBC by suppressing MHC‐I expression and reprogramming T/NK‐cell states, establishing an immune‐excluded tumor phenotype. Targeting this epithelial‐intrinsic IL27RA–PI3K/AKT axis offers a promising strategy to overcome immunotherapy resistance.
Jiachi Xu, Qian Long, Meirong Zhou, Qitong Chen, Jing Peng, Qingchun Liang, Danhua Zhang, Hui Zhou, Wenjun Yi   +8 more
wiley   +1 more source

On the Weighted Mixed Almost Unbiased Ridge Estimator in Stochastic Restricted Linear Regression

Journal of Applied Mathematics, 2013
We introduce the weighted mixed almost unbiased ridge estimator (WMAURE) based on the weighted mixed estimator (WME) (Trenkler and Toutenburg 1990) and the almost unbiased ridge estimator (AURE) (Akdeniz and Erol 2003) in linear regression model.
Chaolin Liu, Hu Yang, Jibo Wu
doaj   +1 more source