Essays about: "Prediction intervals"
Showing result 1 - 5 of 43 essays containing the words Prediction intervals.
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1. Uncertainty Estimation in Radiation Dose Prediction U-Net
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The ability to quantify uncertainties associated with neural network predictions is crucial when they are relied upon in decision-making processes, especially in safety-critical applications like radiation therapy. In this paper, a single-model estimator of both epistemic and aleatoric uncertainties in a regression 3D U-net used for radiation dose prediction is presented. READ MORE
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2. A Markovian Approach to Financial Market Forecasting
University essay from KTH/Matematisk statistikAbstract : This thesis aims to investigate the feasibility of using a Markovian approach toforecast short-term stock market movements. To assist traders in making soundtrading decisions, this study proposes a Markovian model using a selection ofthe latest closing prices. READ MORE
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3. Enhancing House Rental Price Prediction Models for the Swedish Market : Exploring External features, Prediction intervals and Uncertainty Management in Predicting House Rental Prices
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Exakt förutsägelse av hyrespriserna för hus är ett avgörande problem i verkligheten fastighetsdomän, vilket underlättar informerat beslutsfattande för både hyresgäster och hyresvärdar. Denna studie presenterar en omfattande utforskning av olika maskininlärningstekniker som tillämpas på en mångsidig datauppsättning av husfunktioner, med det övergripande målet att avslöja den mest effektiva algoritmen för förutsäga hyrespriser. READ MORE
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4. A Causal Analysis of Cat Bond Markets
University essay from Handelshögskolan i Stockholm/Institutionen för finansiell ekonomiAbstract : This work is a contribution to the causal analysis of the catastrophe bond market, which has generated high excess returns over the last two decades. Since these excess returns remain partially unexplainable and the interest in catastrophe bonds is increasing, the causal study of the factors affecting their premiums is of high relevance. READ MORE
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5. Machine Learning Based Stock Price Prediction by Integrating ARIMA model and Sentiment Analysis with Insights from News and Information
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background: Predicting stock prices in today’s complex financial landscape is asignificant challenge. An innovative approach to address this challenge is integrating sentiment analysis techniques with the well-established Autoregressive IntegratedMoving Average (ARIMA) model. READ MORE