• dbEmpLikeGOF

  • Referenced in 11 articles [sw21505]
  • sample comparison tests using sample entropy. Goodness-of-fit and two sample comparison tests using ... sample entropy...
  • TSEntropies

  • Referenced in 2 articles [sw34014]
  • functions for calculating approximate entropy and sample entropy. Approximate entropy was proposed by S.M. Pincus ... America, 88, 2297-2301 (March 1991). Sample entropy was proposed by J. S. Richman ... series analysis using approximate entropy and sample entropy”, American Journal of Physiology, Heart and Circulatory ... calculating fast approximate entropy and fast sample entropy. These are newly designed very fast algorithms...
  • nonlinearTseries

  • Referenced in 4 articles [sw29817]
  • dimension, information dimension, largest Lyapunov exponent, sample entropy and Recurrence Quantification Analysis (RQA), among others...
  • MESgenCov

  • Referenced in 2 articles [sw32354]
  • generating covariance matrices for maximum-entropy sampling from precipitation chemistry data. We present an open ... MESP (maximum-entropy sampling problem). We provide multiple functionalities for modeling and model assessment...
  • COOLCAT

  • Referenced in 30 articles [sw37383]
  • entropy: clusters of similar poi lower entropy than those of dissimilar ones. We use this ... clustering results are very stable for different sample sizes and parameter settings. Also, the criteria ... rooted on the well-known notion of entropy. Most importantly, COOLCAT is well equipped...
  • FonaDyn

  • Referenced in 1 article [sw26241]
  • synchronous EGG Fourier components, and their sample entropy. The prevalence and stability of different...
  • ebal

  • Referenced in 1 article [sw24557]
  • Entropy reweighting to create balanced samples. Package implements entropy balancing, a data preprocessing procedure that ... This can be useful to create balanced samples in observational studies with a binary treatment ... treatment group. Entropy balancing can also be used to reweight a survey sample to known...
  • Distributions.jl

  • Referenced in 10 articles [sw23197]
  • Moments (e.g mean, variance, skewness, and kurtosis), entropy, and other properties; Probability density/mass functions ... logpdf); Moment generating functions and characteristic functions; Sampling from population or from a distribution; Maximum...
  • TRIOPT

  • Referenced in 6 articles [sw02486]
  • Delaunay triangulation of a given set of samples in the feasible domain, and then ... nonlinear transformation function and their aggregate entropy is calculated. Based on this entropy, partitions that ... vertices are eliminated from the available sample set. This changes global information on the best ... calculation of transformed values. Hence, revised entropies change the direction of the search...
  • smcUtils

  • Referenced in 1 article [sw14629]
  • uniformity (coefficient of variation, effective sample size, and entropy), and a weight renormalizing function...
  • ebalance

  • Referenced in 1 article [sw24556]
  • Entropy Balancing. The Stata package ebalance implements entropy balancing, a multivariate reweighting method described ... This can be useful to create balanced samples in observational studies with a binary treatment ... treatment group. Entropy balancing can also be used to reweight a survey sample to known...
  • humanleague

  • Referenced in 1 article [sw28809]
  • variants of a quasirandom sampling algorithm (QIS) which generate high entropy ‘IPF-like’ whole-number ... supports a seed population by sampling from a dynamically-computed IPF population...
  • BTSystem

  • Referenced in 2 articles [sw17632]
  • updated sample quantum computation algorithms, (4) entanglement studies, including Schmidt decomposition, entropy, mutual information, partial...
  • entbal

  • Referenced in 1 article [sw38236]
  • Jens. “Entropy balancing for causal effects: A multivariate reweighting method to produce balanced samples...
  • MedianOfNinthers

  • Referenced in 5 articles [sw32520]
  • slower than simple approaches based on sampling. The main contribution of this paper ... uniformly distributed random numbers, typical low-entropy artificial datasets, and real-world data. Measurements...
  • ENCoM

  • Referenced in 2 articles [sw16880]
  • information was shown to improve conformational space sampling and apply for the first time ... protein dynamics and thermostability resulting from vibrational entropy changes. Here we present a web server...
  • SWIM

  • Referenced in 2 articles [sw40319]
  • stochastic models based on Monte Carlo samples. Provides weights on simulated scenarios from a stochastic ... selected by constrained minimisation of the relative entropy to the baseline model. The ’SWIM’ package...
  • noisyCE2

  • Referenced in 1 article [sw42092]
  • Cross-Entropy Optimisation of Noisy Functions. Cross-Entropy optimisation of unconstrained deterministic and noisy functions ... allows user to define custom variable domains, sampling distributions, updating and smoothing rules, and stopping...
  • estweight

  • Referenced in 1 article [sw38235]
  • propensity for self-selection into the convenience sample weights using data from the National Health ... approaches (logistic regression, covariate balancing propensity score, entropy balancing, and random forest) for estimating...
  • Ecce Signum

  • Referenced in 1 article [sw42856]
  • corrected using the device of entropy maximization. Model adequacy is assessed through residual diagnostics ... produced with uncertainty measures that account for sample edge effects and missing values...