Results 131 to 140 of about 102,876 (329)
Geological Journal, EarlyView.ABSTRACT Climate change represents the biggest current challenge for us and for future generations. Its impact on agriculture is undeniable, considering the food security goal. Thus, the cropland footprint has been distinguished as a comprehensive index for assessing the impact of environmental changes in agricultural areas determined by the increased ...
Ibrahim Cutcu, Magdalena Radulescu
wiley +1 more source
Birth-and-Death Processes in Python: The BirDePy Package
Journal of Statistical SoftwareBirth-and-death processes (BDPs) form a class of continuous-time Markov chains that are particularly suited to describing the changes in the size of a population over time.
Sophie Hautphenne, Brendan Patch
doaj +1 more source
A perturbation analysis of some Markov chains models with time-varying parameters
, 2017 We study some regularity properties in locally stationary Markov models which are fundamental for controlling the bias of nonparametric kernel estimators.
Truquet, Lionel
core
A tunable microwave absorption metamaterial inspired by moths evading bat detection
InfoMat, EarlyView.Electromagnetic radiation in the current environment has become complex and uncontrollable due to the advancement of wireless technology. Inspired by the moth surface cilia to bend and evade bat sonar detection, our work introduces a metamaterial incorporating broadband and tunable microwave absorption properties combined with deep learning algorithms.
Yijie Liu +13 more
wiley +1 more source
Realistic Representation, Dynamic Evolution and Determinants of Institutional Quality in China
International Studies of Economics, EarlyView.ABSTRACT The paper delves into the role of institutional quality in bolstering China's economic resilience post‐COVID‐19, CITIC‐Entropy. It divides institutions into basic and changeable categories, establishing an index system via the CITIC‐Entropy TOPSIS model.
Susu Wang, Qidi Zhang, Jing Fang
wiley +1 more source
Symbolic Dynamical Filtering via Variable Length Markov Model and Machine Learning
IEEE AccessTime series are the natural way for accessing information about dynamical systems or processes in a variety of scientific, engineering and financial applications. Due to their complexity, the use of data-driven methods is imperative.
Higor Dos Santos +2 more
doaj +1 more source
International Studies of Economics, EarlyView.ABSTRACT Artificial intelligence (AI) plays an increasingly pivotal role in advancing sustainable economic development. While existing literature predominantly examines the environmental impact of AI technologies from national or sectoral perspectives, this study provides a micro‐level analysis of its effects on energy conservation and emission ...
Qiannan Zhu, Zhengyu Zhang
wiley +1 more source
Optimal Dimension of Transition Probability Matrices for Markov Chain Bootstrapping [PDF]
While the large portion of the literature on Markov chain (possibly of order higher than one) bootstrap methods has focused on the correct estimation of the transition probabilities, little or no attention has been devoted to the problem of estimating ...
Cristian Pelizzari +2 more
core +1 more source
Forecasting Natural Gas Prices in Real Time
Journal of Applied Econometrics, EarlyView.ABSTRACT This paper provides a comprehensive analysis of the forecastability of the real price of natural gas in the United States at the monthly frequency considering a universe of models that differ in complexity and economic content. We find that considerable reductions in mean‐squared prediction error relative to a no‐change benchmark can be ...
Christiane Baumeister +3 more
wiley +1 more source