一句话解释起来就是：link function的作用是把Y与X间的非线性关系转换成线性关系。举例：Y和X本来成指...
BinomialLinkFunctions：二项链接功能
A three network setup operated for two hours. Each node generated packets at a rate of 0.2 packets/second according to a Poisson distribution. The nodes were placed approximately equal distance. One of the links had line-of-sight while other two did not. The following are the results collecte...
The distribution theory of the model is discussed, parameter identifiability investigated, and the full likelihood function derived. This function proves somewhat too cumbersome for practical use but two feasible estimation procedures are established, both based upon maximization of multivariate normal ...
of time or the number of cases with a specific disease in epidemiology. Let (Yi,xi) denotenindependent observations, wherexiis a vector of explanatory variables andYiis the response variable. It is assumed that the response givenxifollows a Poisson distribution which has probability function ...
Definition 2.2. The EF withσ-finite measureνon\({\mathbb R}\)and cumulant function\(\kappa :\boldsymbol {\Theta } \to {\mathbb R}\)is given by the distribution functionsFon\({\mathbb R}\)with (2.2) for canonical parameters\(\boldsymbol {\theta } \in \boldsymbol {\Theta } \su...
at hand, we calculate a lower bound for the concurrence of the global state by solving the following convex optimization problem: a minimization of the function that defines a lower bound for the concurrence, over all statesρacting on a four-dimensional Hilbert space such that the concurrence ...
By using the estimated Fisher Information Matrix a confidence interval for the parameters is obtained. Lastly, one example of regression extension is proposed for the Poisson distribution on a study of Salmonella Ames. Keywords and phrases: generalized linear model, link function, AIC, Poisson ...
Poisson: ! y e Y µ µ − Negative binomial: ( ) ( ) ( ) ! i i y i i i y y ω µ ω ω µ ω ω µ ω + Γ + Γ + The log-log link function is for extreme asymmetric distributions and is sometimes used in complementary log- log regression model applications...
Enhlink is a computational tool for scATAC-seq data analysis, facilitating precise interrogation of enhancer function at the single-cell level. It employs an ensemble approach incorporating technical and biological covariates to infer condition-specific regulatory DNA linkages. Enhlink can integrate multi...