Robert J. Kunsch

According to our database, Robert J. Kunsch authored at least 10 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2024

Linear Monte Carlo quadrature with optimal confidence intervals.

Robert J. Kunsch

J. Complex., 2024

Randomized approximation of summable sequences - adaptive and non-adaptive.

Robert J. Kunsch, Erich Novak, Marcin Wnuk

J. Approx. Theory, 2024

Uniform approximation of vectors using adaptive randomized information.

Robert J. Kunsch, Marcin Wnuk

CoRR, 2024

2020

Expected dispersion of uniformly distributed points.

Aicke Hinrichs, David Krieg, Robert J. Kunsch, Daniel Rudolf

J. Complex., 2020

2019

Solvable integration problems and optimal sample size selection.

Robert J. Kunsch, Erich Novak, Daniel Rudolf

J. Complex., 2019

The difficulty of Monte Carlo approximation of multivariate monotone functions.

Robert J. Kunsch

J. Approx. Theory, 2019

Optimal confidence for Monte Carlo integration of smooth functions.

Robert J. Kunsch, Daniel Rudolf

Adv. Comput. Math., 2019

2018

Breaking the curse for uniform approximation in Hilbert spaces via Monte Carlo methods.

Robert J. Kunsch

J. Complex., 2018

Monte Carlo methods for uniform approximation on periodic Sobolev spaces with mixed smoothness.

Glenn Byrenheid, Robert J. Kunsch, Van Kien Nguyen

J. Complex., 2018

2014

Bernstein Numbers and Lower Bounds for the Monte Carlo Error.

Robert J. Kunsch

Proceedings of the Monte Carlo and Quasi-Monte Carlo Methods, 2014