Essays about: "Non-linear time series models"

Showing result 1 - 5 of 21 essays containing the words Non-linear time series models.

1. 1. Demand Forecasting using Machine Learning Methods: An Empirical Study on Walmart Retail Sales Forecast

   University essay from Handelshögskolan i Stockholm/Institutionen för nationalekonomi

   Author : Yongjai Lee; [2023]
   Keywords : Demand forecasting; machine learning; time series; LSTM; ARIMA;

   Abstract : Economists put considerable effort and research into demand estimation, modeling consumer be- havior uncovering causal relationships between product attributes, consumer preferences, prices, and demand. However, demand forecasting is less explored in the economics literature. READ MORE

3. 2. Ambient temperature and risk of preterm birth in three Nepalese regions from March 2019 to May 2020: a retrospective secondary data analysis using distributed lag non-linear models

   University essay from Uppsala universitet/Institutionen för kvinnors och barns hälsa

   Author : Katharina Albert; [2022]
   Keywords : preterm birth; ambient temperature; neonatology; Nepal; DLNM;

   Abstract : Background: Preterm birth is a global health problem which causes significant short- and long-term morbidity and mortality. Pathophysiology is not entirely clear and due to climate change environmental risk factors, such as extreme temperatures, should be considered as emerging and modifiable risk factors. READ MORE

4. 3. Smart Alarm- On the performance characteristics of linear, multi-linear and non-linear tensor models for alarm prediction in multi-sensor data.

   University essay from Högskolan i Halmstad/Akademin för informationsteknologi

   Author : Chandraprakash Sahu; Ahamed Buhari; [2022]
   Keywords : Machine Learning; Tensor Regression; Deep Learning; Multivariate Time Series;

   Abstract : Information and modern computing technology advancements have led to a rise in the importance of maintenance, particularly in areas where a single components failure could have a significant impact on the overall systems performance. Numerous industries, including Alfa Laval, are operating on conditional-based systems that provide warnings only when a machine fails. READ MORE

5. 4. Stock Price Prediction Using Machine Learning

   University essay from Södertörns högskola/Nationalekonomi

   Author : Yixin Guo; [2022]
   Keywords : Machine Learning; Stock Price; Time Series Data; Deep Learning;

   Abstract : Accurate prediction of stock prices plays an increasingly prominent role in the stock market where returns and risks fluctuate wildly, and both financial institutions and regulatory authorities have paid sufficient attention to it. As a method of asset allocation, stocks have always been favored by investors because of their high returns. READ MORE

6. 5. Automatic Development of Pharmacokinetic Structural Models

   University essay from Uppsala universitet/Institutionen för farmaci

   Author : Alzahra Hamdan; [2022]
   Keywords : pharmacometrics; non-linear mixed effects; modelling; pharmacokinetics; NONMEM; automation; exhaustive algorithm; stepwise algorithm; structural models; inter-individual variability; residual error models; model selection;

   Abstract : Introduction: The current development strategy of population pharmacokinetic models is a complex and iterative process that is manually performed by modellers. Such a strategy is time-demanding, subjective, and dependent on the modellers’ experience. READ MORE