Results 121 to 130 of about 73,008 (249)

Asymptotic behavior of varying discrete Jacobi–Sobolev orthogonal polynomials

Journal of Computational and Applied Mathematics, 2016
18 pages, 4 figures, 8 tables corresponding to numerical experiments.
Mañas Mañas, Juan Francisco, Marcellán Español, Francisco, Moreno Balcázar, Juan José   +2 more
openaire   +4 more sources

Estimating Causal Effects With Observational Data: Guidelines for Agricultural and Applied Economists

Journal of Agricultural Economics, EarlyView.
ABSTRACT Most research questions in agricultural and applied economics are causal in nature: they study how changes in one or more variables (such as policies, prices or weather) affect one or more other variables (e.g., income, crop yields or pollution).
Arne Henningsen, Guy Low, David Wuepper, Tobias Dalhaus, Hugo Storm, Dagim Belay, Stefan Hirsch   +6 more
wiley   +1 more source

Storage games

The RAND Journal of Economics, EarlyView.
ABSTRACT We study a long‐horizon, oligopolistic market with random shocks to demand that can be arbitraged by two storage operators with finite capacity. This problem applies to any storable commodity—that is, most commodities. Because the arbitrage spread is so sensitive to market power, storage operators face strong incentives to restrain quantities ...
Sergei Balakin, Guillaume Roger
wiley   +1 more source

Modelling non‐linear psychological processes: Reviewing and evaluating non‐parametric approaches and their applicability to intensive longitudinal data

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Psychological concepts are increasingly understood as complex dynamic systems that change over time. To study these complex systems, researchers are increasingly gathering intensive longitudinal data (ILD), revealing non‐linear phenomena such as asymptotic growth, mean‐level switching, and regulatory oscillations.
Jan I. Failenschmid, Leonie V. D. E. Vogelsmeier, Joris Mulder, Joran Jongerling   +3 more
wiley   +1 more source

Discovery of a cryptic aminoacidic triad involved in the temperature adaptation of GH1 enzymes

The FEBS Journal, EarlyView.
Cold‐active enzymes retain high catalytic activity at low temperatures but are characterized by thermal instability, a behavior not fully understood. Comparison between a cold‐active GH1 and its mesophilic counterparts highlights the role of a three‐residue motif (W‐M‐F) in conferring structural stability to a mesophilic GH1.
Stefania Digiovanni, Gabriel Oanca, Marco Orlando, Marina Lotti, Johan Åqvist, Marco Mangiagalli   +5 more
wiley   +1 more source

DCKTKT: A New Discrete Cosine-Krawtchouk-Tchebichef Transform

Journal of Engineering
Real-world signals are often intricate and difficult to analyze. Therefore, to facilitate the analysis of signal components, the researchers represent the signal in different domains (transform domain), providing a new perspective and offering ...
Mariam Taha Yaseen, Sadiq H. Abdulhussain   +1 more
doaj   +1 more source

Speed Bump and Stock Market Quality: Evidence From NYSE American

Financial Management, EarlyView.
ABSTRACT Should trading speed of high‐frequency traders be regulated? Using the data from the New York Stock Exchange American, this paper examines the impact of a speed bump on market liquidity and price discovery. Our results indicate that the use of a speed bump can lower the costs of adverse selection through reducing informed trading.
Bo Liu, Ke Xu
wiley   +1 more source

A Non‐Parametric Framework for Correlation Functions on Product Metric Spaces

International Statistical Review, EarlyView.
Summary We propose a non‐parametric framework for analysing data defined over products of metric spaces, a versatile class encountered in various fields. This framework accommodates non‐stationarity and seasonality and is applicable to both local and global domains, such as the Earth's surface, as well as domains evolving over linear time or time ...
Pier Giovanni Bissiri, Bernardo Nipoti, Emilio Porcu, Philip White   +3 more
wiley   +1 more source

Markov Determinantal Point Process for Dynamic Random Sets

Journal of Time Series Analysis, EarlyView.
ABSTRACT The Law of Determinantal Point Process (LDPP) is a flexible parametric family of distributions over random sets defined on a finite state space, or equivalently over multivariate binary variables. The aim of this paper is to introduce Markov processes of random sets within the LDPP framework. We show that, when the pairwise distribution of two
Christian Gouriéroux, Yang Lu
wiley   +1 more source

On discrete orthogonal U-Bernoulli Korobov-type polynomials

Constructive Mathematical Analysis
The primary objective of this paper is to introduce and examine the new class of discrete orthogonal polynomials called $U$-Bernoulli Korobov-type polynomials. Furthermore, we derive essential recurrence relations and explicit representations for this polynomial class.
Alejandro Urieles, William Ramirez, Clemente Cesarano   +2 more
openaire   +3 more sources