Results 91 to 100 of about 749,938 (278)

A Nonparametric Multivariate Control Chart Based on Data Depth [PDF]

For the design of most multivariate control charts, it is assumed that the observations follow a multivariate normal distribution. In practice, this assumption is rarely satisfied.
Hering, Franz, Messaoud, Amor, Weihs, Claus   +2 more
core  

CellPolaris: Transfer Learning for Gene Regulatory Network Construction to Guide Cell State Transitions

Advanced Science, EarlyView.
CellPolaris decodes how transcription factors guide cell fate by building gene regulatory networks from transcriptomic data using transfer learning. It generates tissue‐ and cell‐type‐specific networks, identifies master regulators in cell state transitions, and simulates TF perturbations in developmental processes.
Guihai Feng, Xin Qin, Jiahao Zhang, Wuliang Huang, Yiyang Zhang, Wentao Cui, Yao Chen, Shirui Li, Wenhao Liu, Yao Tian, Yana Liu, Jingxi Dong, Ping Xu, Zhenpeng Man, Guole Liu, Zhongming Liang, Xinlong Jiang, Xiaodong Yang, Pengfei Wang, Ge Yang, Hongmei Wang, Xuezhi Wang, Ming‐Han Tong, Yuanchun Zhou, Shihua Zhang, Yiqiang Chen, Yong Wang, Xin Li   +27 more
wiley   +1 more source

Accurately Estimating Correlations Between Demographic Parameters: A Response to Riecke Et al. (2024)

Ecology and Evolution
Correlations between annual recovery and survival probabilities estimated from tag‐recovery data have been used to quantify the demographic response of exploited populations to harvest. Deane et al.
Cody E. Deane, Lindsay G. Carlson, Curry J. Cunningham, Pat Doak, Knut Kielland, Greg A. Breed   +5 more
doaj   +1 more source

The multivariate asymmetric slash Laplace distribution and its applications

Statistica, 2013
We have introduced a multivariate asymmetric-slash Laplace distribution, a flexible distribution that can take skewness and heavy tails into account. This distribution is useful in simulation studies where it can introduce distributional challenges in ...
Bindu Punathumparambath
doaj   +1 more source

Time series analysis with missing data Semiannual status report, 1 Jun. - 30 Nov. 1969 [PDF]

Parameters of multivariate normal distribution for time series analysis with missing ...
Smith, W. B.
core   +1 more source

Unveiling Global Diversity of Patescibacteriota and Functional Interactions with Host Microbes

Advanced Science, EarlyView.
Patescibacteriota represents a diverse group of ultra‐small epibiotic bacteria, which is largely overlooked. By integrating ribosomal protein S3‐based community profiling with MAG‐based metabolic potential analyses, this study provides new insights into their distribution, diversity, and potential interactions with other bacteria across diverse ...
Yanhan Ji, Xu Liu, Shuai Zhao, Sihan Zhou, Yufan Yang, Ping Zhang, Yu Shi, Wei Qin, Guibing Zhu, Yongguan Zhu, Yanzheng Gao, Jiandong Jiang, Baozhan Wang   +12 more
wiley   +1 more source

Predicting the required number of training samples [PDF]

A criterion which measures the quality of the estimate of the covariance matrix of a multivariate normal distribution is developed. Based on this criterion, the necessary number of training samples is predicted.
Kalayeh, H. M., Landgrebe, D. A.
core   +1 more source

Alkyltriphenylphosphonium Binding to Cardiolipin Triggers Oncosis in Cancer Cells

Advanced Science, EarlyView.
Alkyltriphenylphosphonium, exemplified by TPP+‐C14, preferentially accumulates in mitochondria and selectively binds to cardiolipin, a key phospholipid of the inner mitochondrial membrane, causing loss of mitochondrial membrane potential, severe cellular ATP depletion, and calcium imbalance.
Jin Li, Hang Zheng, Yuxing Lin, Ziwei Zhao, Yijia Mai, Zhangrong Lou, Qiang Liu, Zhao Ma, Chengjun Wu   +8 more
wiley   +1 more source

Bayesian Joint Probability Approach for Post‐Processing Monthly Precipitation Prediction in Northwest Iran

Water Resources Research
The probabilistic prediction of monthly precipitation events, specifically more‐than‐normal (MN), normal (N), and less‐than‐normal (LN) events, holds significant importance in the field of water resource management.
Z. Javanshiri, M. Pakdaman
doaj   +1 more source

Extending Approximate Bayesian Computation to Non-Linear Regression Models: The Case of Composite Distributions

Risks
Modeling loss data is a crucial aspect of actuarial science. In the insurance industry, small claims occur frequently, while large claims are rare. Traditional heavy-tail distributions, such as Weibull, Log-Normal, and Inverse Gaussian distributions, are
Mostafa S. Aminzadeh, Min Deng
doaj   +1 more source