Results 61 to 70 of about 994,443 (373)
Algorithms, 2019 This paper deals with an approximation of a first derivative of a signal using a dynamic system of the first order. After formulating the problem, a proposition and a theorem are proven for a possible approximation structure, which consists of a dynamic ...
Manuel Schimmack, Paolo Mercorelli
doaj +1 more source
The horseshoe estimator for sparse signals
, 2010 This paper proposes a new approach to sparsity, called the horseshoe estimator, which arises from a prior based on multivariate-normal scale mixtures. We describe the estimator's advantages over existing approaches, including its robustness, adaptivity ...
C. Carvalho +2 more
semanticscholar +1 more source
The Horseshoe Estimator: Posterior Concentration around Nearly Black Vectors [PDF]
, 2014 We consider the horseshoe estimator due to Carvalho, Polson and Scott (2010) for the multivariate normal mean model in the situation that the mean vector is sparse in the nearly black sense. We assume the frequentist framework where the data is generated
S. L. Kleijn +4 more
semanticscholar +1 more source
Moving in the Dark: Enlightening the Spatial Population Ecology of European Cave Salamanders
Population Ecology, EarlyView.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
Nonparametric estimation of the local Hurst function of multifractional Gaussian processes
, 2012 A new nonparametric estimator of the local Hurst function of a multifractional Gaussian process based on the increment ratio (IR) statistic is defined.
Ayache +22 more
core +4 more sources
A Generalized Moments Estimator for the Autoregressive Parameter in a Spatial Model
, 1999 This paper is concerned with the estimation of the autoregressive parameter in a widely considered spatial autocorrelation model. The typical estimator for this parameter considered in the literature is the (quasi) maximum likelihood estimator ...
H. Kelejian, I. Prucha
semanticscholar +1 more source
New estimators for galactic ellipticity estimation [PDF]
Monthly Notices of the Royal Astronomical Society, 2019 Based on the reformulation of the problem of galactic shape measurement, introduced by Tessore and Bridle, we develop and test new estimators which more efficiently solve what is now a statistical problem. Frequently only a single measurement is available from an observation made by telescopes, which may be distorted due to noise introduced in the ...
Martin Wiegand, Saralees Nadarajah
openaire +4 more sources
Infection Models for Pine Wilt Disease on the Basis of Vector Behaviors
Population Ecology, EarlyView.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
JTAM (Jurnal Teori dan Aplikasi Matematika), 2022 In this paper, an asymptotic distribution of the estimator for the variance function of a compound periodic Poisson process with power function trend is discussed.
Muhammad Wiranadi Utama +2 more
doaj +1 more source
FoxO1 signaling in B cell malignancies and its therapeutic targeting
FEBS Letters, EarlyView.FoxO1 has context‐specific tumor suppressor or oncogenic character in myeloid and B cell malignancies. This includes tumor‐promoting properties such as stemness maintenance and DNA damage tolerance in acute leukemias, or regulation of cell proliferation and survival, or migration in mature B cell malignancies.
Krystof Hlavac +3 more
wiley +1 more source