Results 91 to 100 of about 88,814 (288)

Linear Transformations Preserving Best Linear Unbiased Estimators in a General Gauss-Markoff Model

The Annals of Statistics, 1981
Under a general Gauss-Markoff model $\{\mathbf{y}, \mathbf{X,\beta, V}\}$, a necessary and sufficient condition is established for a linear transformation, $\mathbf{F}$, of the observable random vector $\mathbf{y}$ to have the property that there exists a linear function of $\mathscr{Fy}$ which is a BLUE of $\mathbf{X\beta}$.
Baksalary, J. K., Kala, R.
openaire   +3 more sources

A Lower Bound on the Estimator Variance for the Sparse Linear Model

, 2010
We study the performance of estimators of a sparse nonrandom vector based on an observation which is linearly transformed and corrupted by additive white Gaussian noise. Using the reproducing kernel Hilbert space framework, we derive a new lower bound on
Ben-Haim, Zvika, Eldar, Yonina C., Hlawatsch, Franz, Jung, Alexander, Schmutzhard, Sebastian   +4 more
core   +1 more source

Persistently Increased Expression of PKMzeta and Unbiased Gene Expression Profiles Identify Hippocampal Molecular Traces of a Long‐Term Active Place Avoidance Memory and “Shadow” Proteins

Advanced Science, EarlyView.
Protein complexes like KIBRA‐PKMζ are crucial for maintaining memories, forming month‐long protein traces in memory‐tagged neurons, but conventional RNA‐seq analysis fails to detect their transcript changes, leaving memory molecules undetected in the shadows of abundantly‐expressed genes.
Jiyeon Han, Alejandro Grau‐Perales, Rayna M. Harris, Edith Lesburguères, Hsin‐Yi Kao, Asit Pal, Juan Marcos Alarcon, Todd C. Sacktor, Stefano Martiniani, Hans A. Hofmann, André A. Fenton   +10 more
wiley   +1 more source

Inferences About Two-Parameter Multicollinear Gaussian Linear Regression Models: An Empirical Type I Error and Power Comparison

Stats
In linear regression analysis, the independence assumption is crucial and the ordinary least square (OLS) estimator generally regarded as the Best Linear Unbiased Estimator (BLUE) is applied.
Md Ariful Hoque, Zoran Bursac, B. M. Golam Kibria   +2 more
doaj   +1 more source

In Vivo CRISPR Screening Identifies the Glutamate Receptor GRIA2 as Promoting Peritoneal Metastasis of Gastric Cancer via Calcium‐Dependent β‐Catenin Activation

Advanced Science, EarlyView.
We identified GRIA2 as a critical driver of gastric cancer peritoneal metastasis through in vivo CRISPR screening. Mechanistically, GRIA2‐mediated calcium influx inhibits GSK3β and activates Wnt/β‐catenin signaling, driven by glutamate from cancer‐associated fibroblasts.
Jie Sun, Xu Yang, Wenchao Jiang, Chengbo Ji, Yingying Wu, Haoyu Sun, Xinyou Liu, Masami Yamamoto, Tetsuya Tsukamoto, Sachiyo Nomura, Junjie Zhao, Yuanyuan Ruan, Haojie Li, Xuefei Wang   +13 more
wiley   +1 more source

Systematic bias of selected estimates applied in vertical displacement analysis

Journal of Geodetic Science, 2020
In surveying problems we almost always use unbiased estimators; however, even unbiased estimator might yield biased assessments, which is due to data.
Wyszkowska P., Duchnowski R.
doaj   +1 more source

A semi-parametric bootstrap-based best linear unbiased estimator of location under symmetry. [PDF]

Commun Stat Simul Comput, 2022
Hutson AD.
europepmc   +1 more source

Beyond Extracellular Vesicle (EV) Hype: Practical Solutions and Remaining Hurdles in EV Research, Manufacturing, and Clinical Translation

Advanced Science, EarlyView.
ABSTRACT Extracellular vesicles (EVs) are nanoscale mediators of intercellular communication with diverse molecular cargoes that reflect their cell of origin. Advances in isolation, detection, and single‐particle analytics have revealed increasing molecular and functional heterogeneity, while exposing limitations in how EV identity and activity are ...
David J. Lundy, Zoe L. Chau, Sheng‐You Chen, Nanami Fujisawa, John J. Hill, Barnett M. Hsu, Joanne K. Liu, Karol W. Mai, James J. Lai   +8 more
wiley   +1 more source

A Spatial Unit Level Model for Small Area Estimation

Revstat Statistical Journal, 2011
This paper approaches the problem of small area estimation in the framework of spatially correlated data. We propose a class of estimators allowing the integration of sample information of a spatial nature.
Pedro S. Coelho , Luís N. Pereira
doaj   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source