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- Optimal Multivariate Gaussian Fitting with Applications to PSF Modeling
- Extending Owen's Integral Table and a New Multivariate Bernoulli
- 3. the Gaussian Kernel 37
- Package 'Cmvnorm'
- Lecture 15 Fourier Transforms (Cont'd)
- PHY256 Notes on the Central Limit Theorem, Random Walks and Diffusion
- Numerical Tables
- Products and Convolutions of Gaussian Probability Density Functions
- A Gaussian Model for the Time Development of the Sars-Cov-2 Corona Pandemic Disease
- 8. Fourier Transform Spectroscopy
- Gaussian Statistics and Data-Assimilated Model of Mortality Due to COVID-19: China, USA, Italy, Spain, UK, Iran, and the World Total
- 4. Gaussian Derivatives
- A Fast, Accurate, and Separable Method for Fitting a Gaussian
- Cumulative Gaussian Curve Fitter for Boundary Parameterization
- New Procedures in Modeling Risk: Nihil Novum Sub Sol
- Gaussian Random Functions Paul Lpvy Ecole Polytecihnique 1
- Introduction the Dirac Delta Function
- Some Properties of Q-Gaussian Distributions
- Statistics of Range of a Set of Normally Distributed Numbers
- 3: Gaussian Integrals
- The Multivariate Gaussian Probability Distribution
- Portfolio Return Distributions: Sample Statistics with Non-Stationary
- Fourier Transforms, Delta Functions and Gaussian Integrals
- Convolution, Smoothing, and Image Derivatives
- Chapter 7. the Central, Gaussian Or Normal Distribution
- Asymptotic Analysis of Gaussian Integrals. I 449
- The Focusing Logarithmic Schrödinger Equation: Analysis of Breathers and Nonlinear Superposition Guillaume Ferriere
- Convolution of a Gaussian with an Exponential (And Its Application in Programs Halflife.C/Nanofit.F)
- Convolution and Edge Detection
- Fourier Transform of a Gaussian and Convolution
- Convolution/Deconvolution of Generalized Gaussian Kernels with Applications to Proton/Photon Physics and Electron Capture of Charged Particles W
- Chapter 5 Entropy & the Boltzmann
- Dirac Delta Function