Imputation, modelling and optimal sampling design for digital camera data in recreational fisheries monitoring. Digital camera monitoring has evolved as an active application-oriented scheme to help address questions in areas such as fisheries, ecology, computer vision, artificial intelligence, and criminology. In recreational fisheries research, digital camera monitoring has become a viable option for probability-based survey methods, and is also used for corroborative and validation purposes. In comparison to onsite surveys e.
Deep Learning Based Approaches for Imputation of Time Series Models
From: to Place: MHA Contact: kalle [at] maths [dot] lth [dot] se Save event to your calendar. They studied imputation methods to fill in so called missing data for the problem of analyzing hospitalizations of dialysis patients. Imputation of data is the process of filling in missing values in an incomplete data set. Missing data is a common problem in many fields, not least in clinical research. This report aims to evaluate different methods for imputing missing data in health records of dialysis patients. The imputed data will, in a related project, be used to predict hospitalizations of dialysis patients. The hope is that an imputed data set will give a higher hit rate when predicting the hospitalizations of those patients.
PhD and Habilitation Theses
This thesis provides an introduction to methods for handling missing data. A thorough review of earlier methods and the development of the field of missing data is provided. A simulation study is performed to see if there are circumstances in small samples when any of the two methods are to be preferred.
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