Sökning: "Probabilistic programming"

Visar resultat 1 - 5 av 8 uppsatser innehållade orden Probabilistic programming.

  1. 1. Evaluation of Probabilistic Programming Frameworks

    Master-uppsats, Uppsala universitet/Statistiska institutionen

    Författare :Carl Munkby; [2022]
    Nyckelord :Computational statistics; Bayesian statistics; Probabilistic programming; Probabilistic modelling; Stan; TensorFlow Probability; Pyro; NumPyro; Markov Chain Monte Carlo; Hamiltonian Monte Carlo; NUTS;

    Sammanfattning : In recent years significant progress has been made in the area of Probabilistic Programming, contributing to a considerably easier workflow for quantitative research in many fields. However, as new Probabilistic Programming Frameworks (PPFs) are continuously being created and developed, there is a need for finding ways of evaluating and benchmarking these frameworks. LÄS MER

  3. 2. Stochastic EM for generic topic modeling using probabilistic programming

    Master-uppsats, Uppsala universitet/Statistiska institutionen

    Författare :Robin Saberi Nasseri; [2021]
    Nyckelord :SEM; topic model; probabilistic programming; LDA; DMR; TFP;

    Sammanfattning : Probabilistic topic models are a versatile class of models for discovering latent themes in document collections through unsupervised learning. Conventional inferential methods lack the scaling capabilities necessary for extensions to large-scale applications. LÄS MER

  4. 3. Basal Metabolic Rate (BMR) estimation using Probabilistic Graphical Models

    Master-uppsats, Uppsala universitet/Statistiska institutionen

    Författare :Zara Jackson; [2019]
    Nyckelord :Basal Metabolic Rate; Resting Metabolic Rate; Dynamic Bayesian Networks; Temporal Models; Food Tracking; Calories; Obesity; Pymc3; Probabilistic Programming;

    Sammanfattning : Obesity is a growing problem globally. Currently 2.3 billion adults are overweight, and this number is rising. The most common method for weight loss is calorie counting, in which to lose weight a person should be in a calorie deficit. LÄS MER

  5. 4. Interacting Particle Inferencefor Probabilistic Programming in Haskell

    Kandidat-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Per Engström; [2018]
    Nyckelord :;

    Sammanfattning : Probabilistic programming shows much promise as a declarative way to define statistical models, but inference is often expensive. A parallelisable particle Markovchain Monte Carlo sampler is implemented in Haskell and the domain-specific language Monad-Bayes. LÄS MER

  7. 5. Strategic Battery Storage Integration into the Swedish Power Market

    Master-uppsats, KTH/Energiteknik

    Författare :Marius Lasse Kopiez; Kristofer Eidner Låås; [2018]
    Nyckelord :;

    Sammanfattning : Omställningen mot fler förnyelsebara energikällor inom det svenska elsystemet innebär en större del variabel elproduktion. Detta ställer krav på en hög flexibilitet såsom att flytta energi i tiden där energilagring har en hög nyttjandegrad eftersom att det kan användas både för producent samt förbrukare. LÄS MER