Representativeness of online purposive sampling with Australian cannabis cultivators

Online Learning with Markov Sampling∗

The second is determined by an underlying discrete dynamical system on the space X. ∗The first author is partially supported by NSF grant 0325113. The second author is supported by the Research Grants Council of Hong Kong [Project No. CityU 103206]. The main results of the paper were announced in Uruguay in December 2005 at the International Conference on Probability and Dynamical Systems. Here...

Online Learning with Markov Sampling

In this note we provide an interpretation of the online algorithm by Smale and Zhou in [3] in terms of Stochastic Gradient Descent techniques. In particular we will see that, modulo some heuristics, the algorithm might be consistent for general sampling sequences that are convergent in distribution and satisfy a pointwise ergodic theorem.

Mortality Amongst Opium Cultivators

J. G. Pughe, Esq., Officiating Sub-Deputy Opium Agent of Ally gunge, Sew an, To E. N. Farquharson, Esq., Opium Agent of Behctr. Dated ls< February, 18G1. Sir,?Before making oyer charge of this office, I would, in continuation of my letter to your address, No. 37 of 28th June last, beg to place on record two statements shewing the rates of mortality, causes of death, and ages of the deceased amo...

A Density-Biased Sampling Technique to Improve Cluster Representativeness

Representativeness-Based Sampling Network Design for the Arctic

Resource and logistical constraints limit the frequency and extent of environmental observations, particularly in the Arctic, necessitating the development of a systematic sampling strategy to maximize coverage and objectively represent environmental variability at desired scales. Described is a quantitative methodology for stratifying sampling domains, informing site selection, and determining...