approximation related issues & queries in StatsXchanger

Approximating Categorical Distribution with Mixture of Normals

 continuous-data discrete-data approximation
Updated May 24, 2019 20:19 PM

Analytical approximation of probability of one beta-distributed var being greater than another?

 beta-distribution approximation
Updated May 24, 2019 20:19 PM

Find the min of an Expected mean with a Monte-carlo

 optimization simulation stochastic-processes monte-carlo stochastic-approximation
Updated May 19, 2019 18:19 PM

Posterior convergence in expectation vs probability

 bayesian inference convergence posterior stochastic-approximation
Updated May 16, 2019 17:19 PM

Confusion about Robbins-Monro algorithm in Bishop PRML

 machine-learning maximum-likelihood gradient-descent optimization stochastic-approximation
Updated May 10, 2019 18:19 PM

How does Normal approximation work when ties exist for Wilcoxon Signed rank test?

 wilcoxon-signed-rank exact-test normal-approximation
Updated May 08, 2019 03:19 AM

norm analogs of quantiles

 quantiles approximation distance-functions
Updated May 07, 2019 01:19 AM

Approximating the Kullback-Leibler Divergence with a Laplace approximation

 normal-distribution asymptotics kullback-leibler laplace-approximation
Updated May 01, 2019 20:19 PM

Query complexity of ANN based on Hamming distance

 k-nearest-neighbour approximation
Updated April 28, 2019 17:19 PM

Back-Transformation for Ln(X+1) of zero rich data

 mathematical-statistics data-transformation logarithm approximation back-transformation
Updated April 24, 2019 04:19 AM

Approximation of non linear function with multiple linear functions

 regression data-transformation approximation
Updated April 17, 2019 09:19 AM

Learn to mimic function adaptively

 machine-learning neural-networks approximation
Updated April 04, 2019 10:19 AM

If I approximate a distribution using a Normal with the same mean and variance, what metric have I minimized?

 normal-distribution distance approximation normal-approximation
Updated April 02, 2019 18:19 PM

Why is one of the two approximations in the bootstrap worse than the other?

 variance bootstrap approximation
Updated April 01, 2019 21:19 PM

Approximating a function by sampling a distribution proportial to it and make a histogram of samples

 distributions sampling sample histogram approximation
Updated March 31, 2019 21:19 PM

getting from Edgeworth expansions to Cornish Fisher Expansions

 bootstrap quantiles approximation
Updated March 24, 2019 14:19 PM

Tensorflow: Handling Non-Differentable Function in Forward Pass with Approximate Function

 tensorflow approximation automatic-differentiation
Updated March 19, 2019 00:19 AM

Upper bound on the error when approximating expectation of a function of a random variable using Taylor series

 expected-value approximation taylor-series
Updated March 18, 2019 17:19 PM

Approximate the data to a single curve

 estimation data-transformation curve-fitting approximation
Updated March 06, 2019 12:19 PM

Finding mode of posterior using Newton method in R

 prior posterior hierarchical-bayesian approximation mode
Updated March 05, 2019 14:19 PM

Variance of Normal Order Statistics

 distributions normal-distribution variance approximation order-statistics
Updated February 28, 2019 21:19 PM

at what probability will the probability we start considering the data?

 probability approximation normal-approximation
Updated February 14, 2019 21:19 PM

Sum of product as product of sums

 variance covariance covariance-matrix approximation
Updated February 11, 2019 15:19 PM

What is the correct terminology for repeating gropus of coin flips multiple times in a simulation?

 terminology normal-approximation
Updated January 30, 2019 09:19 AM

Why does increasng the sample size of coin flips not improve the normal curve approximation?

 normal-distribution normal-approximation
Updated January 28, 2019 19:19 PM

What is the analogue of the function "approxfun" in 3D?

 approximation
Updated January 13, 2019 12:19 PM

L1 norm approximation for the regression ||Ax-b||_1, using CVXOPT solver

 regression approximation computing operations-research
Updated January 04, 2019 09:19 AM

Simple arithmetic approximations to categorical analyses

 hypothesis-testing binomial approximation
Updated December 28, 2018 17:19 PM

Estimation of function using Spline Interpolation

 splines approximation interpolation
Updated December 19, 2018 14:19 PM

Approximate prediction interval in linear regression

 regression multiple-regression prediction-interval approximation
Updated December 17, 2018 13:19 PM

Bayesian inverse modeling with "indistinguishable" parameters?

 regression bayesian mcmc laplace-approximation
Updated December 14, 2018 04:19 AM

What's the connection between $\sqrt{n}(\hat{\theta} - \theta)$ and $\sqrt{J(\hat{\theta})}(\hat{\theta}-\theta)$?

 asymptotics normal-approximation
Updated December 04, 2018 21:19 PM

Age-structured SIR/SEIR binomial chain model

 epidemiology differential-equations stochastic-approximation
Updated November 29, 2018 21:19 PM

CLT approximation - how large should sample be so probability is equal to 0.95?

 self-study central-limit-theorem approximation
Updated November 26, 2018 15:19 PM

Lognormal RV $X$: approximate distribution of $X - AX^\alpha$ by new lognormal?

 distributions lognormal approximation
Updated November 23, 2018 15:19 PM

How to solve / fit a geometric brownian motion process in Python?

 python stochastic-processes brownian stochastic-calculus stochastic-approximation
Updated November 20, 2018 11:19 AM

How to use normal approximation to calculate the answer for following question

 actuarial-science normal-approximation
Updated November 15, 2018 12:19 PM

When do Taylor series approximations to expectations of (entire) functions converge?

 expected-value approximation
Updated November 14, 2018 19:19 PM

Fast Approximate Sampling from Multivariate Normal Parameterized by Precision Matrix

 sampling large-data approximation multivariate-normal
Updated November 12, 2018 10:19 AM

Is there a universal approximation theorem for monotone functions?

 machine-learning neural-networks approximation
Updated November 10, 2018 02:19 AM

For the two sample t-test statistics T, how to find the order with respect to the difference E(T| welch-t approximation) - E(T| exact distribution)??

 hypothesis-testing t-test expected-value approximation
Updated November 06, 2018 19:19 PM

Optimization of cost function using newton method

 deep-learning optimization approximation
Updated November 03, 2018 11:19 AM

Approximation of the critical value for $\alpha$ of $\Gamma(n-1,1)$

 chi-squared approximation
Updated November 03, 2018 09:19 AM

Approximation of copulas

 probability approximation copula
Updated October 31, 2018 09:19 AM

Approximating the first moment of h(x) where $x ~ lognomal(\mu, \sigma)$

 normal-distribution monte-carlo lognormal approximation
Updated October 30, 2018 15:19 PM

Normal Approximation to Binomial Question

 probability normal-approximation
Updated October 29, 2018 17:19 PM

Lower-bound on covariance estimated via Laplace approximation?

 probability bayesian variational-bayes laplace-approximation
Updated October 29, 2018 06:19 AM

Approximating a function f(x) with a neural network

 neural-networks deep-learning approximation
Updated October 25, 2018 18:19 PM

Is it possible to combine SPSA and Adam?

 machine-learning optimization sgd stochastic-approximation
Updated October 24, 2018 10:19 AM

Compute Mean of Normal Distribution where x% of Values are over y

 normal-distribution mean pdf approximation
Updated October 22, 2018 13:19 PM
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