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Results 1 - 10
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3,797
Evaluating Interval Forecasts
- International Economic Review
, 1997
"... This paper is intended to address the deficiency by clearly defining what is meant by a "good" interval forecast, and describing how to test if a given interval forecast deserves the label "good". One of the motivations of Engle's (1982) classic paper was to form dynamic int ..."
Abstract
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Cited by 364 (11 self)
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This paper is intended to address the deficiency by clearly defining what is meant by a "good" interval forecast, and describing how to test if a given interval forecast deserves the label "good". One of the motivations of Engle's (1982) classic paper was to form dynamic
Metaanalysis of theory-of-mind development. The truth about false belief.
- Child Development,
, 2001
"... Research on theory of mind increasingly encompasses apparently contradictory findings. In particular, in initial studies, older preschoolers consistently passed false-belief tasks-a so-called "definitive" test of mentalstate understanding-whereas younger children systematically erred. Mor ..."
Abstract
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Cited by 280 (7 self)
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Research on theory of mind increasingly encompasses apparently contradictory findings. In particular, in initial studies, older preschoolers consistently passed false-belief tasks-a so-called "definitive" test of mentalstate understanding-whereas younger children systematically erred
Genetic Algorithms, Noise, and the Sizing of Populations
- COMPLEX SYSTEMS
, 1991
"... This paper considers the effect of stochasticity on the quality of convergence of genetic algorithms (GAs). In many problems, the variance of building-block fitness or so-called collateral noise is the major source of variance, and a population-sizing equation is derived to ensure that average sig ..."
Abstract
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Cited by 276 (85 self)
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This paper considers the effect of stochasticity on the quality of convergence of genetic algorithms (GAs). In many problems, the variance of building-block fitness or so-called collateral noise is the major source of variance, and a population-sizing equation is derived to ensure that average
Path-planning strategies for a point mobile automaton moving amidst unknown obstacles of arbitrary shape
- ALGORITHMICA
, 1987
"... The problem of path planning for an automaton moving in a two-dimensional scene filled with unknown obstacles is considered. The automaton is presented as a point; obstacles can be of an arbitrary shape, with continuous boundaries and of finite size; no restriction on the size of the scene is impos ..."
Abstract
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Cited by 190 (3 self)
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by the automaton in the scene. Algorithms that guarantee reaching the target (if the target is reachable), and tests for target reachability are presented. The efficiency of the algorithms is studied, and worst-case upper bounds on the length of generated paths are produced.
Model Checking via Reachability Testing for Timed Automata
, 1997
"... In this paper we develop an approach to model-checking for timed automata via reachability testing. As our specification formalism, we consider a dense-time logic with clocks. This logic may be used to express safety and bounded liveness properties of real-time systems. We show how to automatically ..."
Abstract
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Cited by 47 (13 self)
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synthesize, for every logical formula ', a socalled test automaton T' in such a way that checking whether a system S satisfies the property ' can be reduced to a reachability question over the system obtained by making T' interact with S.
High self-control predicts good adjustment, less pathology, better grades, and interpersonal success
- Journal of Personality
, 2004
"... ABSTRACT What good is self-control? We incorporated a new measure of individual differences in self-control into two large investigations of a broad spectrum of behaviors. The new scale showed good internal consistency and retest reliability. Higher scores on self-control correlated with a higher gr ..."
Abstract
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Cited by 257 (18 self)
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grade point average, better adjustment (fewer reports of psychopathology, higher self-esteem), less binge eating and alcohol abuse, better relationships and interpersonal skills, secure attachment, and more optimal emotional responses. Tests for curvilinearity failed to indicate any drawbacks of so-called
An Empirical Bayes Approach to Inferring Large-Scale Gene Association Networks
- BIOINFORMATICS
, 2004
"... Motivation: Genetic networks are often described statistically by graphical models (e.g. Bayesian networks). However, inferring the network structure offers a serious challenge in microarray analysis where the sample size is small compared to the number of considered genes. This renders many standar ..."
Abstract
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Cited by 237 (6 self)
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standard algorithms for graphical models inapplicable, and inferring genetic networks an “ill-posed” inverse problem. Methods: We introduce a novel framework for small-sample inference of graphical models from gene expression data. Specifically, we focus on so-called graphical Gaussian models (GGMs
Simulation of pedestrian dynamics using a twodimensional cellular automaton.”
- Physica A,
, 2001
"... Abstract We propose a two-dimensional cellular automaton model to simulate pedestrian tra c. It is a vmax = 1 model with exclusion statistics and parallel dynamics. Long-range interactions between the pedestrians are mediated by a so-called oor ÿeld which modiÿes the transition rates to neighbourin ..."
Abstract
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Cited by 90 (5 self)
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Abstract We propose a two-dimensional cellular automaton model to simulate pedestrian tra c. It is a vmax = 1 model with exclusion statistics and parallel dynamics. Long-range interactions between the pedestrians are mediated by a so-called oor ÿeld which modiÿes the transition rates
On narrow norms and vague heuristics: A reply to Kahneman and Tversky
- Psychological Review
, 1996
"... the heuristics-and-biases approach to statistical reasoning is and is not about. At issue is the imposition of unnecessarily narrow norms of sound reasoning that are used to diagnose so-called cognitive illusions and the continuing reliance on vague heuristics that explain everything and nothing. D. ..."
Abstract
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Cited by 176 (16 self)
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the heuristics-and-biases approach to statistical reasoning is and is not about. At issue is the imposition of unnecessarily narrow norms of sound reasoning that are used to diagnose so-called cognitive illusions and the continuing reliance on vague heuristics that explain everything and nothing. D
Cellular Automaton Approach to Pedestrian Dynamics - Theory
- Pedestrian and Evacuation Dynamics
, 2002
"... Abstract. We present a 2-dimensional cellular automaton model for the simulation of pedestrian dynamics. The model is extremely efficient and allows simulations of large crowds faster than real time since it includes only nearest-neighbour interactions. Nevertheless it is able to reproduce collectiv ..."
Abstract
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Cited by 49 (2 self)
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Abstract. We present a 2-dimensional cellular automaton model for the simulation of pedestrian dynamics. The model is extremely efficient and allows simulations of large crowds faster than real time since it includes only nearest-neighbour interactions. Nevertheless it is able to reproduce
Results 1 - 10
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3,797
