This paper discusses General Random Utility Models (GRUMs). These are a class of parametric models that generate partial ranks over alternatives given attributes of agents and alternatives. We propose two preference elicitation scheme for GRUMs developed from principles in Bayesian experimental design, one for social choice and the other for personalized choice. We couple this with a general Mo...

In this extended abstract1, we consider the “small n, large p” prediction problem, where the number of available samples n is much smaller compared to the number of covariates p. This challenging setting is common for multiple applications, such as precision medicine, where obtaining additional samples can be extremely costly or even impossible. Extensive research effort has recently been dedic...

There has been an explosion of interest during the past two decades in a class of nonmarket stated-preference valuation methods known as choice experiments. The overall objective of a choice experiment is to estimate economic values for characteristics (or attributes) of an environmental good that is the subject of policy analysis, where the environmental good or service comprises several chara...

Utility functions in Bayesian experimental design are usually based on the posterior distribution. When the posterior is found by simulation, it must be sampled from for each future dataset drawn from the prior predictive distribution. Many thousands of posterior distributions are often required. A popular technique in the Bayesian experimental design literature, which rapidly obtains samples f...

In previous chapters we analyzed data from so-called one-way experimental designs, in which subjects were randomly assigned to groups that di↵ered on a single treatment or grouping variable. In this chapter we will analyze data from factorial experiments. Factorial experiments contain two or more experimental variables. In a completely crossed factorial experiment, each level of every variable ...

In this contribution different methods to excite dynamic systems are presented. Model-based/model-free and offline/online design plans are discussed and methods to optimize design plans with respect to the intended use are introduced. The presented design plans are appropriate to identify the dynamics of combustion engines and are evaluated by simulation and practical examples.

Most natural populations experience some density dependence, and longterm average rates of population growth are likely to be close to zero (i.e., steady state). An essential question, therefore, is how and to what extent do density-dependent effects influence the responses of populations to toxicant impacts? Here we consider three general types of interaction between density dependence and tox...

α-Bi2O3 was synthesized via a hydrothermal method at 180 °C for 12 h in 1 (S1) and 2 (S2) M KOH aqueous solutions, using Bi(NO3)3•5H2O as raw material. The synthesized material was characterized by X-ray powder diffraction (XRPD) technique. The XRPD results indicated that by using 1M KOH aqueous solution, α-Bi2O3 was obtained with small fractions of β-Bi2O3, while 2M KOH solution resulted in pu...

The discrete multi-way layout is a widespread data-type associated with regression, experimental designs, gene or protein chips, digital images or videos, and more. A discrete multi-way layout has a finite number of factor level combinations. The layout may be unbalanced or incomplete or both. We consider candidate fits to an incomplete layout that are least squares fits to certain submodels in...