Results 71 to 80 of about 245,498 (265)
Advanced Science, EarlyView.This study introduces stVGP, a variational spatial Gaussian process framework for multi‐modal, multi‐slice spatial transcriptomics. By integrating histological and genomic data through hybrid alignment and attention‐based fusion, stVGP reconstructs coherent 3D functional landscapes.
Zedong Wang +3 more
wiley +1 more source
Ecological IndicatorsEuphausia superba is a well-known Antarctic crustacean of great economic and ecological importance, whose management requires accurate and precise abundance and distribution estimates.
J.A. Canseco +2 more
doaj +1 more source
The Bierens Test for Certain Nonstationary Models [PDF]
We adapt the Bierens (Econometrica, 1990) test to the I-regular models of Park and Phillips (Econometrica, 2001). Bierens (1990) defines the test hypoth- esis in terms of a conditional moment condition.
Ioannis Kasparis
core
Estimation of bivariate excess probabilities for elliptical models
, 2006 Let $(X,Y)$ be a random vector whose conditional excess probability $\theta(x,y):=P(Y\leq y | X>x)$ is of interest. Estimating this kind of probability is a delicate problem as soon as $x$ tends to be large, since the conditioning event becomes an ...
Abdous, Belkacem +3 more
core +6 more sources
Advanced Energy Materials, EarlyView.In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu +6 more
wiley +1 more source
Conjugate Projective Limits [PDF]
, 2011 We characterize conjugate nonparametric Bayesian models as projective limits of conjugate, finite-dimensional Bayesian models. In particular, we identify a large class of nonparametric models representable as infinite-dimensional analogues of exponential
Orbanz, Peter
core
The stability of conditional Markov processes and Markov chains in random environments
, 2009 We consider a discrete time hidden Markov model where the signal is a stationary Markov chain. When conditioned on the observations, the signal is a Markov chain in a random environment under the conditional measure.
van Handel, Ramon
core +1 more source
Quantifying the land‐use change due to soybean‐based biodiesel in the United States
Applied Economic Perspectives and Policy, EarlyView.Abstract We quantify the impact of soybean oil‐based biodiesel production on US cropland, using a method that accounts for the intermediate effect of soybean crushing facilities. Based on U.S. Environmental Protection Agency data for biodiesel production and proprietary data for soybean crushing facilities over 2011–2020, we find that the elasticities ...
Ruiqing Miao +5 more
wiley +1 more source
Non‐Tariff Measures and U.S. Agricultural Exports
Applied Economic Perspectives and Policy, EarlyView.Abstract How much do non‐tariff measures (NTMs) affect U.S. agricultural exports? While countries maintain a large and diverse set of NTMs to safeguard the health of plants, animals, and humans, policymakers and regulatory bodies may neglect the impact these measures have on international trade.
Yunus Emre Karagulle +2 more
wiley +1 more source
A Consistency Theorem for Regular Conditional Distributions [PDF]
, 2010 Let (omega, beta) be a measurable space, An in B a sub-sigma-field and µn a random probability measure, n >= 1. In various frameworks, one looks for a probability P on B such that µn is a regular conditional distribution for P given An for all n ...
Berti, Patrizia, Rigo, Pietro
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