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Name: Johan Dahlin
Type: User
Company: Kotte Consulting AB
Bio: Business-minded PhD passionate about data, algorithms and improving the world
Location: Stockholm, Sweden
Name: Johan Dahlin
Type: User
Company: Kotte Consulting AB
Bio: Business-minded PhD passionate about data, algorithms and improving the world
Location: Stockholm, Sweden
Sparse Bayesian ARX models with flexible noise distributions
Inference in Gaussian models with missing data using Equalisation Maximisation
Particle filter-based Gaussian process optimisation for parameter inference
Bayesian optimisation for fast approximate inference in state-space models with intractable likelihoods
Source code and data for examples in thesis "Sequential Monte Carlo for inference in nonlinear state space models"
Implementations from a graduate course following "Pattern Recognition and Machine Learning) written by Bishop and published in 2006.
Newton-based maximum likelihood estimation in nonlinear state space models
Approximate Bayesian inference for mixed effects models with heterogeneity
Accelerating Monte Carlo methods for Bayesian inference in dynamical models
Particle Metropolis-Hastings using gradient and Hessian information
Source code and data for the tutorial: "Getting started with particle Metropolis-Hastings for inference in nonlinear models"
R package pmhtutorial available from CRAN.
Code skeletons for implementing PMH in MATLAB based on the repo pmh-tutorial
Accelerating pseudo-marginal Metropolis-Hastings by correlating auxiliary variables
Correlated pseudo-marginal Metropolis-Hastings using quasi-Newton proposals
Constructing Metropolis-Hastings proposals using damped BFGS updates
Quasi-Newton particle Metropolis-Hastings
Hierarchical Bayesian approaches for robust inference in ARX models
Sequential Monte Carlo methods (particle filtering/smoothing) for a toy problem
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.