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PAC-Bayes Guarantees for Data-Adaptive Pairwise Learning. [PDF]
Entropy (Basel)Zhou S, Lei Y, Kabán A.
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Ultrafast neural sampling with spiking nanolasers. [PDF]
Nat CommunBoikov IK, de Rossi A, Petrovici MA.
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Methodology of Non-Probability Samples Through Data Integration
American Journal of Biomedical Science & Researchopenaire +1 more source
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2016
A sample is a subset of a population and we survey the units from the sample with the aim to learn about the entire population. However, the sampling theory was basically developed for probability sampling, where all units in the population have known and positive probabilities of inclusion. This definition implicitly involves randomization, which is a
Vehovar, V., Toepoel, V., Steinmetz, S.
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A sample is a subset of a population and we survey the units from the sample with the aim to learn about the entire population. However, the sampling theory was basically developed for probability sampling, where all units in the population have known and positive probabilities of inclusion. This definition implicitly involves randomization, which is a
Vehovar, V., Toepoel, V., Steinmetz, S.
openaire +5 more sources
Comparing Inference Methods for Non‐probability Samples
International Statistical Review, 2018SummarySocial and economic scientists are tempted to use emerging data sources like big data to compile information about finite populations as an alternative for traditional survey samples. These data sources generally cover an unknown part of the population of interest.
Bart Buelens +2 more
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Population Sampling: Probability and Non-Probability Techniques
Prehospital and Disaster Medicine, 2023 2023;38(2 ...
S. Stratton
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Sampling: bridging probability and non-probability designs
International Journal of Social Research Methodology, 2013This article reconceptualizes sampling in social research. It is argued that three inter-related a priori assumptions limit on the possibility of sample design, namely: (a) the ontology of the case, (b) the epistemological assumptions underpinning what properties are necessary to know the case and (c) the logistics involved in the process of ‘casing ...
E. Uprichard
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