G. Bottegal | Håkan Hjalmarsson

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Identification of linear models from quantized data: a midpoint-projection approach
Modeling and identification of uncertain-input systems
A Sequential Least Squares Algorithm for ARMAX Dynamic Network Identification
A benchmark for data-based office modeling: challenges related to CO$_2$ dynamics
A kernel-based approach to Hammerstein system identification
A new kernel-based approach to system identification with quantized output data
Approximate Maximum-Likelihood Identification of Linear Systems from Quantized Measurements
Bayesian kernel-based system identification with quantized output data
Blind identification strategies for room occupancy estimation
Blind system identification using kernel-based methods
Blind system identification using kernel-based methods
On the Effect of Noise Correlation in Parameter Identification of SIMO Systems
On the variance of identified SIMO systems with spatially correlated output noise
Variance Analysis of Linear SIMO Models with Spatially Correlated Noise
Outlier robust system identification: a Bayesian kernel-based approach
An empirical Bayes approach to identification of modules in dynamic networks
A nonparametric kernel-based approach to Hammerstein system identification
Approximate inference of nonparametric Hammerstein models
On maximum likelihood identification of errors-in-variables models
Variational Bayes identification of acyclic dynamic networks
Identification of Modules in Dynamic Networks: An Empirical Bayes Approach
Kernel-Based System Identification from Noisy and Incomplete Input-Output Data
Robust EM kernel-based methods for linear system identification
A new kernel-based approach for overparameterized Hammerstein system identification
Multi-room occupancy estimation through adaptive gray-box models
On the Variance Analysis of identified Linear MIMO Models
On the estimation of initial conditions in kernel-based system identification
Outlier robust kernel-based system identification using l1-Laplace techniques