Results 221 to 230 of about 21,998,513 (385)
Abstract Developing population models for assessing risks to terrestrial plant species listed as threatened or endangered under the Endangered Species Act (ESA) is challenging given a paucity of data on their life histories. The purpose of this study was to develop a novel approach for identifying relatively data‐rich nonlisted species that could serve
Pamela Rueda‐Cediel+5 more
wiley +1 more source
Use of hidden Markov models for partial discharge pattern classification [PDF]
L. Satish, Bharathi Gururaj
openalex +1 more source
Quantitative analysis of peroxisome tracks using a Hidden Markov Model. [PDF]
Svensson CM+5 more
europepmc +1 more source
Susceptible‐infected‐recovered model with stochastic transmission
Abstract The susceptible‐infected‐recovered (SIR) model is the cornerstone of epidemiological models. However, this specification depends on two parameters only, which results in its lack of flexibility and explains its difficulty to replicate the volatile reproduction numbers observed in practice.
Christian Gouriéroux, Yang Lu
wiley +1 more source
Making colonoscopy‐based screening more efficient: A “gateopener” approach
What's new? Although colonoscopy is a widely used screening tool for colorectal cancer (CRC), it is relatively inefficient, as most of the screened subjects would never develop CRC even without screening. In the present study, use of a low‐threshold fecal immunochemical test (“gateopener” FIT) was investigated as a means of streamlining screening ...
Thomas Heisser+4 more
wiley +1 more source
ON OPTIMAL POLICIES FOR MULTI-REPAIR-TYPE MARKOV MAINTENANCE MODELS
Yukio Hatoyama
openalex +2 more sources
Local asymptotic normality and mixed normality for Markov statistical models [PDF]
Reinhard Höpfner+2 more
openalex +1 more source
A parameter transformation of the anisotropic Matérn covariance function
Abstract We describe a polar coordinate transformation of the anisotropy parameters of the Matérn covariance function, which provides two benefits over the standard parameterization. First, it identifies a single point (the origin) with the special case of isotropy.
Kamal Rai, Patrick E. Brown
wiley +1 more source