4 citations · 4 across the 4 of their papers we have counts for
5 papers
Maximum-distance nonnegative matrix factorization for unmixing highly mixed grain-size distribution data
Qianqian Qi, Zhongming Chen, Peter G. M. van der Heijden
Unmixing grain-size distribution data into several end-members can help reveal sediment provenance, transport, and sedimentation processes. Traditional end-member unmixing methods…
Dual system estimation using mixed effects loglinear models
Ceejay Hammond, Paul A. Smith, Peter G. M. van der Heijden
In official statistics, dual system estimation (DSE) is a well-known tool to estimate the size of a population. Two sources are linked, and the number of units that are missed by b…
Nowcasting in triple-system estimation
Daan B. Zult, Peter G. M. van der Heijden, Bart F. M. Bakker
Multiple systems estimation uses samples that each cover part of a population to obtain a total population size estimate. Ideally, all the available samples are used, but if some s…
Correspondence Analysis and PMI-Based Word Embeddings: A Comparative Study
Qianqian Qi, Ayoub Bagheri, David J. Hessen +1
Popular word embedding methods such as GloVe and Word2Vec are related to the factorization of the pointwise mutual information (PMI) matrix. In this paper, we establish a formal co…
Improving information retrieval through correspondence analysis instead of latent semantic analysis
Qianqian Qi, David J. Hessen, Peter G. M. van der Heijden
Both latent semantic analysis (LSA) and correspondence analysis (CA) are dimensionality reduction techniques that use singular value decomposition (SVD) for information retrieval.…