Essays about: "misspecification"
Showing result 1 - 5 of 14 essays containing the word misspecification.
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1. Unconventional Monetary Policy in the United States : An empirical study of the quantitative easing (QE) effects on households and firms
University essay from Linnéuniversitetet/Institutionen för nationalekonomi och statistik (NS)Abstract : Quantitative Easing is an unconventional instrument when conducting monetary policy with the aim of stimulating the economy. The instrument is a complementary tool when changing the nominal interest rate is no longer effective. READ MORE
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2. Analyzing the Negative Log-Likelihood Loss in Generative Modeling
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Maximum-Likelihood Estimation (MLE) is a classic model-fitting method from probability theory. However, it has been argued repeatedly that MLE is inappropriate for synthesis applications, since its priorities are at odds with important principles of human perception, and that, e.g. READ MORE
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3. Time Series Anomaly Detection and Uncertainty Estimation using LSTM Autoencoders
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The goal of this thesis is to implement an anomaly detection tool using LSTM autoencoder and apply a novel method for uncertainty estimation using Bayesian NeuralNetworks (BNNs) based on a paper from Uber research group [1]. Having a reliable anomaly detection tool and accurate uncertainty estimation is critical in many fields. READ MORE
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4. Treatment-mediator interaction when estimating causal effects
University essay from Umeå universitet/StatistikAbstract : In a variety of disciplines, causal mediation analysis is routinely conducted by researchers to examine the roles of variables which lie in the causal paths between the treatment and outcome variables. These effects are commonly estimated using a parametric model approach, where one fits regression models for the mediator and outcome variables. READ MORE
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5. Outcome regression methods in causal inference : The difference LASSO and selection of effect modifiers
University essay from Umeå universitet/StatistikAbstract : In causal inference, a central aim of covariate selection is to provide a subset of covariates, that is sufficient for confounding adjustment. One approach for this is to construct a subset of covariates associated with the outcome. This is sometimes referred to as the outcome approach, which is the subject for this thesis. READ MORE
