Search for dissertations about: "Non-Stationary Data"
Showing result 1 - 5 of 49 swedish dissertations containing the words Non-Stationary Data.
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1. Statistical inference and time-frequency estimation for non-stationary signal classification
Abstract : This thesis focuses on statistical methods for non-stationary signals. The methods considered or developed address problems of stochastic modeling, inference, spectral analysis, time-frequency analysis, and deep learning for classification. READ MORE
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2. Estimation and Classification of Non-Stationary Processes : Applications in Time-Frequency Analysis
Abstract : This thesis deals with estimation and classification problems of non-stationary processes in a few special cases.In paper A and paper D we make strong assumptions about the observed signal, where a specific model is assumed and the parameters of the model are estimated. READ MORE
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3. Essays on Fiscal Policy, Private Consumption and Non-Stationary Panel Data
Abstract : In the first essay of this thesis, we examine whether the effects of fiscal expansions and contractions exert a symmetric influence on the relationship between fiscal policy and private consumption. Our results indicate a considerable asymmetry across fiscal expansions and contractions. READ MORE
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4. Towards Robust and Adaptive Machine Learning : A Fresh Perspective on Evaluation and Adaptation Methodologies in Non-Stationary Environments
Abstract : Machine learning (ML) has become ubiquitous in various disciplines and applications, serving as a powerful tool for developing predictive models to analyze diverse variables of interest. With the advent of the digital era, the proliferation of data has presented numerous opportunities for growth and expansion across various domains. READ MORE
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5. Mostly Panel Econometrics : Essays on Asymptotic Analysis and Enhanced Inference
Abstract : This thesis consists of five chapters which focus on panel data theory. Four of them analyze explicit panel data models and one chapter deals with time series forecasting model, where external panel data help us estimate unobserved explanatory variables. READ MORE