Calibrating Bayesian inference
Abstract Bayesian statistics has gained popularity in psychological research due to its intuitive uncertainty quantification and convenient information‐updating rules. In many applications, however, prior distributions are introduced merely as instruments to facilitate computation, rather than as representations of genuine subjective belief ...
Yang Liu +2 more
wiley +1 more source
Wave Tracing: Generalizing The Path Integral To Wave Optics
Abstract Modeling the wave nature of light and the propagation and diffraction of electromagnetic fields is crucial for the accurate simulation of many phenomena, yet wave simulations are significantly more computationally complex than classical ray‐based models.
Shlomi Steinberg, Matt Pharr
wiley +1 more source
Quantifying the Nonclassicality of the Kirkwood-Dirac Quasiprobability Distribution Under Discrete-Time Dynamics. [PDF]
Ding Z, Zhou SQ.
europepmc +1 more source
Optimized and Aligned Anisotropic Monte Carlo Sampling Patterns
Abstract Path tracing uses Monte Carlo integration to solve the rendering equation by evaluating the integrand at random sampling points. The convergence rate of the error can be significantly improved by using correlated instead of random sampling, especially on smooth integrands.
Mirco Werner +2 more
wiley +1 more source
The failure of the Ehlers-Kundt conjecture in the impulsive case. [PDF]
Frauenberger ML +2 more
europepmc +1 more source
Linking the Comparison and Graphical Approaches to Bipartite Matching
Summary Bipartite record linkage has the goal of identifying observations referring to the same individual, called coreferent observations, across two distinct non‐duplicated datasets. The two main approaches to solve this task are the Fellegi–Sunter model, which relies on pairwise comparisons of observations, and the graphical record linkage model ...
Edoardo Redivo
wiley +1 more source
Flat-Band Localization in Electrical Circuits from One to Three Dimensions. [PDF]
Shao K, Liu F.
europepmc +1 more source
Missing Values in Time Series: A Brief Review and a New Versatile Imputation Method
Summary Missing data can significantly hamper standard time series analysis, yet they occur frequently in applications. In this paper, we briefly review some available methods for handling missing values and introduce the temporal Wasserstein imputation, a novel method for imputing missing data in time series.
Shuo‐Chieh Huang +2 more
wiley +1 more source
Superconductivity from quasiparticle pairing of intervalley coherent state in rhombohedral trilayer graphene. [PDF]
Chau CW, Chen SA, Law KT.
europepmc +1 more source
Testing Distributional Granger Causality With Entropic Optimal Transport
ABSTRACT We develop a novel nonparametric test for Granger causality in distribution based on entropic optimal transport. Unlike classical mean‐based approaches, the proposed method directly compares the full conditional distributions of a response variable with and without the history of a candidate predictor.
Tao Wang
wiley +1 more source

