| Inference on Time Series Nonparametric Conditional Moment Restrictions Using General Sieves | Dec 31, 2022 | Off-policy evaluationTime Series | —Unverified | 0 |
| Data re-uploading in Quantum Machine Learning for time series: application to traffic forecasting | Jan 22, 2025 | Quantum Machine LearningTime Series | —Unverified | 0 |
| Manipulating hidden-Markov-model inferences by corrupting batch data | Feb 19, 2024 | Time Series | —Unverified | 0 |
| Inference on the change point in high dimensional time series models via plug in least squares | Jul 3, 2020 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Mapping Coupled Time-series Onto Complex Network | Apr 28, 2020 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Mapping horizontal and vertical urban densification in Denmark with Landsat time-series from 1985 to 2018: a semantic segmentation solution | Sep 21, 2020 | Semantic SegmentationTime Series | —Unverified | 0 |
| Marginalised Spectral Mixture Kernels with Nested Sampling | Nov 23, 2020 | Prediction Intervalsregression | —Unverified | 0 |
| Marginalization Consistent Probabilistic Forecasting of Irregular Time Series via Mixture of Separable flows | Jun 11, 2024 | Gaussian ProcessesGPR | —Unverified | 0 |
| Marginalized particle Gibbs for multiple state-space models coupled through shared parameters | Oct 13, 2022 | Bayesian InferenceState Space Models | —Unverified | 0 |
| Market-Based Portfolio Variance | Apr 10, 2025 | Time Series | —Unverified | 0 |
| Market Comment Generation from Data with Noisy Alignments | Dec 1, 2020 | Comment GenerationSentence | —Unverified | 0 |
| Market efficiency, liquidity, and multifractality of Bitcoin: A dynamic study | Feb 25, 2019 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Market forecasting using Hidden Markov Models | Apr 29, 2015 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Inference on common trends in functional time series | Dec 1, 2023 | Time Seriesvalid | —Unverified | 0 |
| Data Quality Over Quantity: Pitfalls and Guidelines for Process Analytics | Nov 11, 2022 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Inference on Causal Effects of Interventions in Time using Gaussian Processes | Oct 6, 2022 | Gaussian ProcessesTime Series | —Unverified | 0 |
| Inference of stochastic time series with missing data | Jan 28, 2021 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Market states: A new understanding | Mar 16, 2020 | ClusteringTime Series | —Unverified | 0 |
| Markov Chain Monte Carlo for Continuous-Time Switching Dynamical Systems | May 18, 2022 | parameter estimationTime Series | —Unverified | 0 |
| Learning Time-Varying Multi-Region Communications via Scalable Markovian Gaussian Processes | Jun 29, 2024 | Gaussian ProcessesState Space Models | —Unverified | 0 |
| Markovian Gaussian Process Variational Autoencoders | Jul 12, 2022 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Markovian RNN: An Adaptive Time Series Prediction Network with HMM-based Switching for Nonstationary Environments | Jun 17, 2020 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Inference of High-dimensional Autoregressive Generalized Linear Models | May 9, 2016 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Markus Thill Temporal convolutional autoencoder for unsupervised anomaly detection in time series | Nov 1, 2021 | Anomaly DetectionTime Series | —Unverified | 0 |
| Inference of hidden common driver dynamics by anisotropic self-organizing neural networks | Apr 2, 2025 | Time Series | —Unverified | 0 |