Results 141 to 150 of about 1,549,528 (298)
Splitting of Conditional Expectations and Liftings in Product Spaces II
Let (X,A,P) and (Y,B,Q) be two probability spaces, R be their skew product on the product σ-algebra A⊗B and {(Ay,Sy):y∈Y} be a Q-disintegration of R. Then, let A⋇B be the σ-algebra generated A⊗B and by the family M:={E⊂X×Y:∃N∈B0∀y∉NSy^(Ey)=0} and R⋇ be ...
Kazimierz Musiał
doaj +1 more source
Cygnus (Cyclic‐imaging gateway to nanovesicles underlying signature) integrates multiplexed single‐EV protein imaging with a practical analysis workflow to examine EV phenotypes at vesicle, subpopulation, and sample scales. ABSTRACT Lung cancer is frequently diagnosed after curative treatment windows have narrowed, creating a need for minimally ...
Mi Hyeon Cho +13 more
wiley +1 more source
Macrophage PABPC4‐SPP1 Axis Orchestrates Immunosuppression in Colorectal Cancer
In the CRC microenvironment, macrophage PABPC4 binds to the 3′UTR of SPP1 mRNA to stabilize its expression, thereby sustaining M2‐like immunosuppressive macrophage polarization. Concurrently, this axis suppresses CD8+ T cell effector functions via CD44 signaling, collectively fostering an immunosuppressive niche that drives tumor progression.
Meng Wang +14 more
wiley +1 more source
MXene‐Based Room‐Temperature NO2 Gas Sensors: A Meta‐Analysis
This study presents the first comprehensive meta‐analysis of MXene‐based NO2 sensors, decoding 32 study characteristics across 61 peer‐reviewed studies. By isolating materials chemistry as the primary performance driver over device‐level parameters, the authors establish a methodological blueprint and a predictive structure–function map to accelerate ...
Alexander Khort +3 more
wiley +1 more source
Probabilistic Computing via Gate‐Tunable Random Telegraph Noise
Intrinsic random telegraph noise in metal–oxide–semiconductor field‐effect transistors is harnessed to create gate‐tunable probabilistic bits. By modulating carrier‐trapping dynamics, the device produces stochastic binary outputs with a continuous bias‐to‐probability transfer.
Gyungwon Yun +8 more
wiley +1 more source
Introduction to Probability Theory
In this course, the student will learn the basic terminology and concepts of probability theory, including sample size, random experiments, outcome spaces, discrete distribution, probability density function, expected values, and conditional probability.
The Saylor Foundation
core
Mixed normal conditional heteroskedasticity [PDF]
Both unconditional mixed-normal distributions and GARCH models with fat-tailed conditional distributions have been employed for modeling financial return data.
Mittnik, Stefan +2 more
core
In elementary probability, the conditional probability of an event A given an event B is the ratio P(A ∩ B)/P(B), provided P(B)>0. Visualize the events as plane regions (rectangles here) and their probabilities as the areas of those regions.
Boucher, Chris
core +1 more source
NSUN2 and m5C decline in URSA villous tissues. Trophoblast Nsun2 ablation disrupts macrophage‐mediated maternal‐fetal tolerance and triggers embryo resorption. Mechanistically, NSUN2‐YBX1 axis stabilizes m5C‐modified TGFB1 mRNA to maintain TGF‐β1 secretion and M2 polarization, and restoring this signaling rescues maternal‐fetal immune tolerance to ...
Xiaoxiao Zhu +10 more
wiley +1 more source
Nonparametric Estimation and Symmetry Tests for Conditional Density Functions. [PDF]
We suggest two new methods for conditional density estimation. The first is based on locally fitting a log-linear model, and is in the spirit of recent work on locally parametric techniques in density estimation.
Hyndman, R.J., Yao, Q.
core

