In this study we assess the ability of the Marine Recreational Fishery Statistics Survey (MRFSS) to support single-species recreation demand models. We use the 2000 MRFSS southeast intercept data combined with the economic add-on. We determine that the MRFSS data will support only a few species-specific recreation demand models. Considering species of management interest in the southeast, we fo...

In this paper, we develop improved techniques for defending against adversarial examples at scale. First, we implement the state of the art version of adversarial training at unprecedented scale on ImageNet and investigate whether it remains effective in this setting—an important open scientific question (Athalye et al., 2018). Next, we introduce enhanced defenses using a technique we call logi...

Given a polytope X, a monotone concave univariate function g, and two vectors c and d, we consider the discrete optimization problem of finding a vertex of X that maximizes the utility function c′x+g(d′x). This problem has numerous applications in combinatorial optimization with a probabilistic objective, including estimation of project duration with stochastic times, in reliability models and ...

Current opinion regarding the selection of link function in binary response models is that the probit and logit links give essentially similar results. This seems to be true for univariate binary response models; however, for multivariate binary response models such advice is misleading. We address a gap in the literature by empirically examining the relationship between link function selection...

In this paper I shall present a treatment of lexical and grammatical tone and vowel length in Hausa, as implemented in an emerging bidirectional HPSG of the language based on the Lingo Grammar Matrix (Bender et al., 2002). I shall argue in particular that a systematic treatment of suprasegmental phonology is indispensible in an implemented grammar of the language, both for theoretical and pract...

Within forest growth modeling it is customary to employ LOGIT models to predict individual tree mortality. In this paper we use Learning Vector Quantization and the self-organizing map as diierent formalisms to predict individual tree mortality. The data set for this study came from permanent sample plots in uneven-aged Norway spruce (Picea abies L. Karst) stands in Austria. After parameterizin...

Substantive income effects are incorporated in a logit or nested-logit model by assuming that utility is a piece-wise linear spline function of residual income. Specific income data are not required, only income by category. Expected compensating variation is easily and accurately approximated by the difference between expected maximum utility in the proposed and initial state, multiplied by th...

The current note summarizes the findings of our nested Logit analysis of the use of health care services in Cameroon. The objectives of that analysis were: (i) identify the determinants of the choice of health care providers in Cameroon, and (ii) determine the compensation to the poor to get them away from traditional/self healing. For that purpose a nested Logit model was built to account for ...