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    <subfield code="a">Part I Invited Articles: C. A. Beschle, A. Barth, Quasi Continuous Level Monte Carlo for Random Elliptic PDEs -- M. B. Giles, MLMC Techniques for Discontinuous Functions -- T. Helin, A. M. Stuart, A. L. Teckentrup, K. C. Zygalakis, Introduction to Gaussian Process Regression in Bayesian Inverse Problems, with new Results on Experimental Design for Weighted Error Measures -- V. Kaarnioja, Frances Y. Kuo, Ian H. Sloan, Lattice-Based Kernel Approximation and Serendipitous Weights for Parametric PDEs in Very High Dimensions -- E. Novak, Optimal Algorithms for Numerical Integration: Recent Results and Open Problems -- Chris. J. Oates, Minimum Kernel Discrepancy Estimators -- Gabriel Stoltz, Error Estimates and Variance Reduction for Nonequilibrium Stochastic Dynamics -- Part II Contributed Articles: F. Bernal, A. Berridi, Heuristics for the Probabilistic Solution of BVPs with Mixed Boundary Conditions -- Sou-Cheng T. Choi, Y. Ding, Fred J. Hickernell, J. Rathinavel, Aleksei G. Sorokin, Challenges in Developing Great Quasi-Monte Carlo Software -- L. Enzi, S. Thonhauser, Numerical Computation of Risk Functionals in PDMP Risk Models -- J. Fiedler, M. Gnewuch, Christian Wei&#xDF;, New Bounds for the Extreme and the Star Discrepancy of Double-Infinite Matrices -- C. Garc&#xED;a-Pareja, F. Nobile, Unbiased Likelihood Estimation of Wright-Fisher Diffusion Processes -- Alexander D. Gilbert, Frances Y. Kuo, Ian H. Sloan, A. Srikumar, Theory and Construction of Quasi-Monte Carlo Rules for Asian Option Pricing and Density Estimation -- Philipp A. Guth, V. Kaarnioja, Application of Dimension Truncation Error Analysis to High Dimensional Function Approximation in Uncertainty Quantification -- Rami El Haddad, C. L&#xE9;cot, Pierre L&#x2019;Ecuyer, Simple Stratified Sampling for Simulating Multi-Dimensional Markov Chains -- K. Harsha, M. Gnewuch, M. Wnuk, Infinite-Variate 𝐿2-Approximation with Nested Subspace Sampling -- S. Heinrich, Randomized Complexity of Vector-Valued Approximation -- A. Keller, C. W&#xE4;chter, N. Binder, Quasi-Monte Carlo Algorithms (not only) for Graphics Software -- S. Krumscheid, Per Pettersson, Sequential Estimation using Hierarchically Stratified Domains with Latin Hypercube Sampling -- Frances Y. Kuo, Weiwen Mo, D. Nuyens, Ian H. Sloan, A. Srikumar, Comparison of Two Search Criteria for Lattice-based Kernel Approximation -- M. Longo, C. Schwab, A. Stein, A-posteriori QMC-FEM Error Estimation for Bayesian Inversion and Optimal Control with Entropic Risk Measure -- E. L&#xF8;vbak, F. Blondeel, A. Lee, L. Vanroye, Andreas Van Barel, G. Samaey, Reversible Random Number Generation for Adjoint Monte Carlo Simulation of the Heat Equation -- H. Maatouk, D. Rulli&#xE8;re, X. Bay, Large Scale Gaussian Processes with Matheron&#x2019;s Update Rule and Karhunen-Lo&#xE8;ve Expansion -- A. Mickel, A. Neuenkirch, The Order Barrier for the 𝐿1-approximation of the Log-Heston SDE at a Single Point -- D. Nuyens, L. Wilkes, A Randomised Lattice Rule Algorithm with Pre-determined Generating Vector and Random Number of Points for Korobov Spaces with 0 &lt; 𝛼 &#x2264; 1/2 -- L. Paulin, D. Coeurjolly, N. Bonneel, Jean-Claude Iehl, V. Ostromoukhov, A. Keller, Generator Matrices by Solving Integer Linear Programs -- K. Ravi, T. Neckel, Hans-Joachim Bungartz, Multi-fidelity No-U-Turn Sampling -- C. Reisinger, M. Olympia Tsianni, Convergence of the Euler&#x2013;Maruyama Particle Scheme for a Regularised McKean&#x2013;Vlasov Equation Arising from the Calibration of Local-stochastic Volatility models -- A. G. Sorokin, J. Rathinavel, On Bounding and Approximating Functions of Multiple Expectations using Quasi-Monte Carlo -- K. Spendier, M. Sz&#xF6;lgyenyi, Convergence of the Tamed-Euler&#x2013;Maruyama Method for SDEs with Discontinuous and Polynomially Growing Drift -- V&#xED;ctor de la Torre, J. Marzo, QMC Strength for some Random Configurations on the Sphere -- P. Vanmechelen, G. Lombaert, G. Samaey, Multilevel MCMC with Level-Dependent Data in a Model Case of Structural Damage Assessment -- M. Wnuk, A Note on Compact Embeddings of Reproducing Kernel Hilbert Spaces in 𝐿2 and Infinite-variate Function Approximation.</subfield>
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