搜索结果: 1-15 共查到“管理学 Importance”相关记录34条 . 查询时间(0.14 秒)
THE IMPORTANCE OF DIGITAL METHODS IN PRESERVATION OF CULTURAL HERITAGE THE EXAMPLE OF ZIRNIKLI MANSION
Documentation of Cultural Heritage 3D Laser Scanning CAD Drawing Restitution Restoration
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2017/6/20
Documentation in maintaining cultural properties is a highly important stage of work for determination of the unique properties. The researches having been carried out over years to increase the accur...
The Importance of Cost of Living and Education in Estimates of the Conditional Wage Gap Between Black and White Women
Cost of Living and Education Conditional Wage Gap Black White Women
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2016/3/3
While evidence about discrimination in U.S. labor markets typically implies preferential treatment for whites, recent studies document a substantial wage premium for black women (for example, Fryer 20...
Employer Learning and the “Importance” of Skills
Employer Learning Importance Skills
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2016/3/3
We ask whether employer learning in the wage-setting process depends on skill type and skill importance to productivity, using measures of seven premarket skills and data for each skill’s importance t...
Adaptive Importance Sampling via Stochastic Convex Programming
Adaptive Importance Sampling via Stochastic Convex Programming
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2015/7/8
We show that the variance of the Monte Carlo estimator that is importance sampled from an exponential family is a convex function of the natural parameter of the distribution. With this insight, we pr...
Importance Sampling for Monte Carlo Estimation of Quantiles
quantiles importance sampling large deviations.
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2015/7/8
This paper is concerned with applying importance sampling as a variance reduction tool for computing extreme quantiles. A central limit theorem is derived for each of four proposed importance sampling...
Importance Sampling Using the Semi-Regenerative Method
Importance Sampling Semi-Regenerative Method
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2015/7/8
We discuss using the semi-regenerative method, importance sampling, and stratification to estimate the expected cumulative reward until hitting a fixed set of states for a discrete-time Markov chain o...
Fluid Heuristics, Lyapunov Bounds, and Efficient Importance Sampling for a Heavy-tailed G/G/1 Queue
State-dependent importance sampling Rare-event simulation Heavy-tails
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2015/7/6
We develop a strongly efficient rare-event simulation algorithm for computing the tail of the steady-state waiting time in a single server queue with regularly varying service times. Our algorithm is ...
Zero-Variance Importance Sampling Estimators for Markov Process Expectations
Importance sampling Markov process simulation
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2015/7/6
We consider the use of importance sampling to compute expectations of functionals of Markov processes. For a class of expectations that can be characterized as positive solutions to a linear system, w...
On Lyapunov Inequalities and Subsolutions for Efficient Importance Sampling
Lyapunov Inequalities Efficient Importance Sampling
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2015/7/6
In this article we explain some connections between Lyapunov methods and subsolutions of an associated Isaacs equation for the design of efficient importance sampling schemes. As we shall see, subsolu...
The Expanding Role of University Patenting in the Life Sciences: Assessing the Importance of Experience and Connectivity
Life Sciences University Patenting
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2015/7/3
We extend debates about the sources of university capabilities at research
commercialization. Drawing upon quantitative data for a panel of 89 research-intensive
U.S. universities and interview da...
Penalized importance sampling for parameter estimation in stochastic differential equations
Chronic wasting disease Euler-Maruyama scheme Maximum likelihood estimation Partially observed discrete sparse data Penalized importance sampling Stochastic di
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2013/6/14
We consider the problem of estimating parameters of stochastic differential equations with discrete-time observations that are either completely or partially observed. The transition density between t...
Metamodel-based importance sampling for structural reliability analysis
reliability analysis importance sampling metamodeling error kriging random fields active learning rare events
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2011/6/16
Structural reliability methods aim at computing the probability of failure of systems with
respect to some prescribed performance functions. In modern engineering such functions
usually resort to ru...
The relative importance of group-level effects on the performance of European companies
performance groups strategic groups ANOVA industry effects firm effects
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2010/11/5
We examine the relative importance of group-level performance effects for a
large European data set. For different performance measures, group effects explain
between 25 and 36 percent of the total ...
The Importance of Scale for Spatial-Confounding Bias and Precision of Spatial Regression Estimators
Epidemiology, identifiability, mixed model,penalized likelihood random effects spatial correlation splines
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2010/11/9
Residuals in regression models are often spatially correlated.Prominent examples include studies in environmental epidemiology to understand the chronic health effects of pollutants.
Quantile estimation with adaptive importance sampling
Quantile estimation law of iterated logarithm adaptive im-portance sampling stochastic approximation Robbins–Monro
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2010/3/11
We introduce new quantile estimators with adaptive importance
sampling. The adaptive estimators are based on weighted samples
that are neither independent nor identically distributed. Using a
new l...