منابع مشابه
Exact Sampling from Determinantal Point Processes
Determinantal point processes (DPPs) are an important concept in random matrix theory and combinatorics. They have also recently attracted interest in the study of numerical methods for machine learning, as they offer an elegant “missing link” between independent Monte Carlo sampling and deterministic evaluation on regular grids, applicable to a general set of spaces. This is helpful whenever a...
متن کاملEfficient Sampling for k-Determinantal Point Processes
Determinantal Point Processes (Dpps) are elegant probabilistic models of repulsion and diversity over discrete sets of items. But their applicability to large sets is hindered by expensive cubic-complexity matrix operations for basic tasks such as sampling. In light of this, we propose a new method for approximate sampling from discrete k-Dpps. Our method takes advantage of the diversity proper...
متن کاملApplication of adaptive sampling in fishery part 1: Adaptive cluster sampling and its strip designs
Abstract: The precision of conventional sampling designs is not usually satisfactory for estimating parameters of clump and rare populations. Many of fish species live in school and disperse all over a vast area like a sea so that they are rare compare to their habitats. Theory of a class of sampling designs called adaptive sampling designs has rapidly grown during last decade which solv...
متن کاملApplication of adaptive sampling in fishery part 2: Truncated adaptive cluster sampling designs
There are some experiences that researcher come across quite number of time for very large networks in the initial samples such that they cannot finish the sampling procedure. Two solutions have been proposed and used by marine biologists which we discuss in this article: i) Adaptive cluster sampling based on order statistics with a stopping rule, ii) Restricted adaptive cluster sampling. Until...
متن کاملSensitivity Analysis of Spatial Sampling Designs for Optimal Prediction
In spatial statistic, the data analyzed which is correlated and this correlation is due to their locations in the studied region. Such correlation that is related to distance between observations is called spatial correlation. Usually in spatial data analysis, the prediction of the amount of uncertain quantity in arbitrary 4locations of the area is considered according to attained observations ...
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ژورنال
عنوان ژورنال: Journal of Statistical Planning and Inference
سال: 2019
ISSN: 0378-3758
DOI: 10.1016/j.jspi.2018.05.005