Showing 5 open source projects for "events"

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    Memento.jl

    Memento.jl

    A flexible logging library for Julia

    Memento is a flexible hierarchical logging library for Julia.
    Downloads: 5 This Week
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    ReachabilityAnalysis.jl

    ReachabilityAnalysis.jl

    Compute reachable states of dynamical systems

    Reachability analysis is concerned with computing rigorous approximations of the set of states reachable by a dynamical system. In the scope of this package are systems modeled by continuous or hybrid dynamical systems, where the dynamics change with discrete events. Systems are modeled by ordinary differential equations (ODEs) or semi-discrete partial differential equations (PDEs), with uncertain initial states, uncertain parameters or non-deterministic inputs.
    Downloads: 7 This Week
    Last Update:
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  • 3
    Bayesian Statistics

    Bayesian Statistics

    This repository holds slides and code for a full Bayesian statistics

    ...The background knowledge is expressed as a prior distribution and combined with observational data in the form of a likelihood function to determine the posterior distribution. The posterior can also be used for making predictions about future events. Bayesian statistics is a departure from classical inferential statistics that prohibits probability statements about parameters and is based on asymptotically sampling infinite samples from a theoretical population and finding parameter values that maximize the likelihood function. Mostly notorious is null-hypothesis significance testing (NHST) based on p-values.
    Downloads: 7 This Week
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  • 4
    Bayesian Julia

    Bayesian Julia

    Bayesian Statistics using Julia and Turing

    ...The background knowledge is expressed as a prior distribution and combined with observational data in the form of a likelihood function to determine the posterior distribution. The posterior can also be used for making predictions about future events. Bayesian statistics is a departure from classical inferential statistics that prohibits probability statements about parameters and is based on asymptotically sampling infinite samples from a theoretical population and finding parameter values that maximize the likelihood function. Mostly notorious is null-hypothesis significance testing (NHST) based on p-values. ...
    Downloads: 7 This Week
    Last Update:
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    Actors.jl

    Actors.jl

    Concurrent computing in Julia based on the Actor Model

    Concurrent computing in Julia based on the Actor Model. Actors make(s) concurrency easy to understand and reason about and integrate(s) well with Julia's multi-threading and distributed computing. It provides an API for writing reactive applications.
    Downloads: 6 This Week
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