Results 171 to 180 of about 15,437 (317)
Industry Portfolio Volatility Connections and Industry Portfolio Returns
International Journal of Finance &Economics, EarlyView.ABSTRACT This paper tracks dynamic connections that form among daily US industry portfolio return volatilities using a Bayesian time‐varying parameter VAR model. Market participants often focus on sectors to filter vast amounts of information, and this focus results in cross‐industry return predictability. We characterise connections that form over the
Michael Ellington +2 more
wiley +1 more source
Artificial intelligence–driven decoupling structure–activity relationship for lithium‐ion batteries
InfoScience, EarlyView.Artificial intelligence can efferently accelerate the high‐throughput screening of battery materials, the analysis of multiphase mechanisms, and the precise prediction of capacity and cycle life. This review systematically summarizes the applications of machine learning (ML) in decoupling the complex structure‐activity relationships of lithium‐ion ...
Tao Wang +6 more
wiley +1 more source
Land Use Policy and Racial Segregation
International Studies of Economics, EarlyView.ABSTRACT Land use policies, though seemingly race‐neutral, can inadvertently contribute to racial segregation. Our study focuses on examining the impact of minimum lot size regulations on the likelihood of ethnic minorities integrating into a community, which reveals compelling evidence suggesting that black households exhibit a preference for smaller ...
Ling Huang
wiley +1 more source
Identification via completeness for discrete covariates and orthogonal polynomials [PDF]
We solve a class of identification problems for nonparametric and semiparametric models when the endogenous covariate is discrete with unbounded support.
Nese Yildiz, Yevgeniy Kovchegov
core
Journal of Applied Econometrics, EarlyView.ABSTRACT Double/debiased machine learning (DML) uses for estimating an average treatment effect (ATE) a double‐robust score function that relies on the prediction of nuisance functions, such as the propensity score, which is the probability of treatment assignment given covariates.
Daniele Ballinari, Nora Bearth
wiley +1 more source
Constrained Numerical Deconvolution Using Orthogonal Polynomials
, 2023 Maestre JM, Palacio PC, Aarons L.
europepmc +1 more source
International Journal of Climatology, EarlyView.Monthly average aerosol optical depth at 320 nm obtained with a Brewer MKIII spectrophotometer for Hobart, Australia (42.8806° S, 147.3250° E) over a 21‐year period. There is a linear trend of 15.4% per decade. There are 9 months when the average aerosol optical depth exceeds twice the monthly standard deviation.
Manuel Nuñez +3 more
wiley +1 more source
Spectral analysis for the exceptional Xm-Jacobi equation
Electronic Journal of Differential Equations, 2015 We provide the mathematical foundation for the $X_m$-Jacobi spectral theory. Namely, we present a self-adjoint operator associated to the differential expression with the exceptional $X_m$-Jacobi orthogonal polynomials as eigenfunctions.
Constanze Liaw +2 more
doaj
Journal of Raman Spectroscopy, EarlyView.Robust quantification in noncontact Raman sensing requires dedicated correction of working distance dependent background effects, while laser power variations are readily stabilized using internal reference signals. Chemically relevant Raman intensity can be preserved for bulk composition measurements, under variable laser power and working distance ...
Tiril Aurora Lintvedt +3 more
wiley +1 more source
Mathematical Methods in the Applied Sciences, EarlyView.ABSTRACT Constructing a biorthogonal structure from scratch, that is, defining a biorthogonal pair is quite tough. Because here the orthogonality must be established between two different sets. There are four known univariate biorthogonal polynomial sets, suggested by Laguerre, Jacobi, Hermite and Szegő‐Hermite polynomials, in the literature.
Esra Güldoğan Lekesiz
wiley +1 more source