Erik Jørgensen

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A general problem in relation to application of Markov decision processes to real world problems is the curse of dimensionality, since the size of the state space grows to prohibitive levels when information on all relevant traits of the system being modeled are included. In herd management, we face a hierarchy of decisions made at different levels with(More)
—This paper presents a new hierarchical basis of arbitrary order for integral equations solved with the method of moments (MoM). The basis is derived from orthogonal Legendre poly-nomials which are modified to impose continuity of vector quantities between neighboring elements while maintaining most of their desirable features. Expressions are presented for(More)
In agriculture Markov decision processes (MDPs) with finite state and action space are often used to model sequential decision making over time. For instance, states in the process represent possible levels of traits of the animal and transition probabilities are based on biological models estimated from data collected from the animal or herd. State space(More)
Latent class analysis to assess the sensitivity and specificity of a diagnostic test can be carried out under different assumptions. An often applied set of assumptions is known as the Hui-Walter paradigm, which essentially states that: (i) the population is divided into two or more populations in which two or more tests are evaluated under assumption that(More)
Only few theoretical efforts have been made in order to support decisions of culling/replacement in sow herds, despite obvious possibilities for affecting productivity. In this paper different culling strategies are compared: 1) culling according to parity (CP) and 2) culling according to a policy determined by a Dynamic Programming (DP) model using litter(More)
BACKGROUND Patients with acute ST-segment elevation myocardial infarction (STEMI) and multivessel coronary disease have a worse prognosis compared with individuals with single-vessel disease. We aimed to study the clinical outcome of patients with STEMI treated with fractional flow reserve (FFR)-guided complete revascularisation versus treatment of the(More)
Markov decision processes (MDP) with finite state and action space have often been used to model sequential decision making over time in dairy herds. However, the length of each stage has been at least 1 mo, resulting in models that do not support decisions on a daily basis. The present paper describes the first step of developing an MDP model that can be(More)