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
Application of artificial neural networks to solve differential equations in Zika virus dynamics with exponential kernel derivatives. [PDF]
Shafee A, Jacob K, Iqbal N, Hamoud AA.
europepmc +1 more source
SDFs from Unoriented Point Clouds using Neural Variational Heat Distances
We propose a novel variational approach for computing neural Signed Distance Fields (SDF) from unoriented point clouds. We first compute a small time step of heat flow (middle) and then use its gradient directions to solve for a neural SDF (right). Abstract We propose a novel variational approach for computing neural Signed Distance Fields (SDF) from ...
Samuel Weidemaier +5 more
wiley +1 more source
Analysis of delay differential equations with dual caputo-type fractional derivatives using laplace transform methods. [PDF]
Boumaaza M +4 more
europepmc +1 more source
Real‐Time Conformal Maps and Parameterizations
Abstract We present a simple algorithm to conformally map between two simple and bounded planar domains based on the concept of harmonic measure, which is a conformal invariant. With suitable preprocessing, the algorithm is fast enough to compute all possible conformal maps (having three real degrees of freedom) between the two domains in real time in
Q. Chang, C. Gotsman, K. Hormann
wiley +1 more source
Analytical solutions of some time-fractional versions of the coupled KdV system of equations via two hybrid transform techniques. [PDF]
Aruna K +3 more
europepmc +1 more source
Controllable Intrinsic Surface Pattern Generation Using Slime Mold Simulations
Abstract Surface‐based pattern simulations have proven valuable for texture design and scientific visualization, but existing methods face several limitations. Most simulations either target a narrow range of pattern types (e.g. spots, branching) or support a broad range of patterns at the cost of time‐consuming parameter tuning.
Jeffrey Layton +2 more
wiley +1 more source
Linear Stability of the Slowly-Rotating Kerr-de Sitter Family. [PDF]
Fang AJ.
europepmc +1 more source
2D Piecewise Linear Scalar Fields with Invertible Integral Lines
Abstract Integral lines of the gradient flow are standard features in continuously differentiable scalar fields that enjoy some useful properties: They cover the domain densely, do not split, merge, or intersect, and are therefore invertible. For widely used discretizations of scalar fields, the corresponding polygonal approximations of integral lines ...
T.L. Erxleben +3 more
wiley +1 more source
Matrix-based solution methods for deformable derivative systems: applications to growth-decay and mortgage models. [PDF]
Priya K +3 more
europepmc +1 more source

