Results 61 to 70 of about 2,751,841 (314)
Moving in the Dark: Enlightening the Spatial Population Ecology of European Cave Salamanders
We assessed individual interactions, movement ecology and activity patterns of a subterranean population of Speleomantes strinatii, applying spatial capture–recapture modeling to a photographic dataset of 104 individuals. ABSTRACT Space use and movement are fundamental aspects of organisms' ecology, mirroring individual fitness, behavior, and life ...
Giacomo Rosa +2 more
wiley +1 more source
Decision-making under risk and uncertainty and its application in strategic management
We introduce a new decision-making model that unifies risk and uncertain environments in the same formulation. For doing so, we present the induced probabilistic ordered weighted averaging (IPOWA) operator.
José M. Merigó
doaj +1 more source
Probability thermodynamics and probability quantum field
We introduce probability thermodynamics and probability quantum fields. By probability we mean that there is an unknown operator, physical or nonphysical, whose eigenvalues obey a certain statistical distribution. Eigenvalue spectra define spectral functions.
Ping Zhang +3 more
openaire +2 more sources
Sensible Quantum Mechanics: Are Probabilities only in the Mind? [PDF]
Quantum mechanics may be formulated as {\it Sensible Quantum Mechanics} (SQM) so that it contains nothing probabilistic except conscious perceptions. Sets of these perceptions can be deterministically realized with measures given by expectation values of
Page, Don N.
core +2 more sources
Infection Models for Pine Wilt Disease on the Basis of Vector Behaviors
Infection models for pine wilt disease without vector density were built to estimate the transmission coefficient of the pathogenic nematode. The models successfully simulated the annual change in the density of infected trees for four pine stands. ABSTRACT Pine wilt disease is caused by the pinewood nematode (Bursaphelenchus xylophilus Steiner et ...
Katsumi Togashi
wiley +1 more source
GENESIS – The GENEric SImulation System for Modelling State Transitions
This software implements a discrete time Markov chain model, used to model transitions between states when the transition probabilities are known 'a priori'.
Matthew S. Gillman
doaj +1 more source
Induction without Probabilities [PDF]
A simple indeterministic system is displayed and it is urged that we cannot responsibly infer inductively over it if we presume that the probability calculus is the appropriate logic of induction.
Norton, John D
core
Bear management changes management actions according to the horizontal axis of the population size and the vertical axis of the number of nuisance bears. Aiming for the target population size of Ntar, Actions I and II protect the bears, and Action IV reduces the population.
Hiroyuki Matsuda +5 more
wiley +1 more source
Bayesian reasoning, defined here as the updating of a posterior probability following new information, has historically been problematic for humans. Classic psychology experiments have tested human Bayesian reasoning through the use of word problems and ...
Gary L. Brase, W. Trey eHill
doaj +1 more source
As examples such as the Monty Hall puzzle show, applying conditioning to update a probability distribution on a ``naive space'', which does not take into account the protocol used, can often lead to counterintuitive results. Here we examine why. A criterion known as CAR (``coarsening at random'') in the statistical literature characterizes when ...
Grunwald, P. D., Halpern, J. Y.
openaire +5 more sources

