Essays about: "Bayesian statistics"

Showing result 6 - 10 of 41 essays containing the words Bayesian statistics.

  1. 6. Statistical Modeling of Separator Processes - An Application of Gaussian Processes with Bayesian Optimization

    University essay from Lunds universitet/Matematisk statistik

    Author : Tim Svensson; [2020]
    Keywords : Gaussian process; Bayesian optimization; Separator; Mathematics and Statistics;

    Abstract : The separator is a machine with many applications, commonly used to separate liquids or solids into components with different density. Each application demands its own unique set of process parameters to achieve optimal results. Often the procedure of finding the best process parameters is conducted empirically, which can be very time consuming. READ MORE

  2. 7. Simultaneous Classification of Sets of Images Using Deep Learning and Clustering

    University essay from Lunds universitet/Matematik LTH

    Author : Nellie Carleke; Hugo Sellerberg; [2020]
    Keywords : Mathematics and Statistics;

    Abstract : Classification of cell images is conventionally done manually in hematology laboratories by medical technologists. CellaVision aims to automate this work in order to make the analysis process faster, better and more flexible. READ MORE

  3. 8. Human Age Prediction Based on Real and Simulated RR Intervals using Temporal Convolutional Neural Networks and Gaussian Processes

    University essay from Linköpings universitet/Statistik och maskininlärning

    Author : Maximilian Pfundstein; [2020]
    Keywords : Statistics; Machine Learning; RR; RR intervals; ECG; Gaussian Processes; Health Care; Convolutional Neural Networks; Time Series; Data Simulation; Human Age Prediction;

    Abstract : Electrocardiography (ECG) is a non-invasive method used in medicine to track the electrical pulses sent by the heart. The time between two subsequent electrical impulses and hence the heartbeat of a subject, is referred to as an RR interval. READ MORE

  4. 9. Variable Selection for Estimating Optimal Sequential Treatment Decisions Using Bayesian Networks

    University essay from Lunds universitet/Statistiska institutionen

    Author : Joel Persson; [2020]
    Keywords : decision theory; causal inference; variable selection; graphical models; causal discovery; dynamic treatment regimes; dynamic programming; reinforcement learning; observational study; Mathematics and Statistics;

    Abstract : We propose a variable selection method for estimating decision rules of optimal sequential treatment assignments when the decision-relevant variables are unknown. Standard variable selection methods are insufficient in this setting since they choose covariates that are predictive of the outcome, not those that interact with the treatment on the outcome and are therefore relevant for decision-making. READ MORE

  5. 10. Sequential analyses in psychological research using Bayesian statistics

    University essay from Lunds universitet/Institutionen för psykologi

    Author : Pierre Klintefors; [2019]
    Keywords : Sequential analysis; Bayesian statistics; Optional stopping; Bayes factor; Bayesian estimation; Highest Density Intervals; Social Sciences;

    Abstract : It is important in psychological research to use well planned methods that are as time and resource efficient as possible, without jeopardizing the reliability and validity of psychological science. The present paper aims to test how sequential analyses could be implemented in psychological research using Bayesian statistics. READ MORE