On the convergence rate of the Kačanov scheme for shear-thinning fluids. [PDF]
Heid P, Süli E.
europepmc +1 more source
Kolmogorov Entropy for Convergence Rate in Incomplete Functional Time Series: Application to Percentile and Cumulative Estimation in High Dimensional Data. [PDF]
Litimein O +4 more
europepmc +1 more source
Uniform Convergence Rate of the SNP Density Estimator and Testing for Similarity of Two Unknown Densities [PDF]
This paper studies the uniform convergence rate of the turncated SNP (semi-nonparametric) density estimator. Using the uniform convergence rate result we obtain, we propose a test statistic testing the equivalence of two unknown densities where two ...
Kyoo il Kim
core +1 more source
Convergence Rate to the Tracy-Widom Laws for the Largest Eigenvalue of Wigner Matrices. [PDF]
Schnelli K, Xu Y.
europepmc +1 more source
Sparse Group Lasso: Optimal Sample Complexity, Convergence Rate, and Statistical Inference. [PDF]
Cai TT, Zhang AR, Zhou Y.
europepmc +1 more source
Strong convergence rate of truncated Euler-Maruyama method for stochastic differential delay equations with Poisson jumps. [PDF]
Gao S, Hu J, Tan L, Yuan C.
europepmc +1 more source
Regional Growth Convergence in Colombia Using Social Indicators [PDF]
This paper investigates convergence in social indicators among Colombian departments from 1973 to 2005. We use census data and apply both the regression approach and the distributional approach (univariate and bivariate kernel density estimators).
Adriana Cardozo, Boris Branisa
core
Convergence, competitiveness and the exchange rate
Standard theory predicts that exchange rate changes have merely temporary real effects. Yet, if the higher profits that a devaluation ensures are used to improve non-price competitiveness, longer-run effects are possible. The paper looks at the experience of Germany, Spain, France and Italy which, in the 1950s and 1960s, either benefited from low ...
openaire +3 more sources
Variational image regularization with Euler's elastica using a discrete gradient scheme
This paper concerns an optimization algorithm for unconstrained non-convex problems where the objective function has sparse connections between the unknowns.
Lazić, Jasmina +2 more
core
Convergence rate for the moving least-squares learning with dependent sampling. [PDF]
Guo Q, Ye P.
europepmc +1 more source

