Ingrid Kristine Glad

Image of Ingrid Kristine Glad
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Phone +47 22855879
Room 813
Username
Visiting address Moltke Moes vei 35 Niels Henrik Abels hus 0851 Oslo
Postal address Postboks 1053 Blindern 0316 Oslo

I am currently vice director for the Center for Computational and Data Science at the University of Oslo, dScience, and co-director for the center for research based innovation BigInsight. I am also Chair of the Abel Board for the period 2022-2026.

Research Interests:

I develop statistical and machine learning methodology motivated by problems originating in the life sciences and other data intensive disciplines. I am particularly occupied with high-dimensional regression and statistical and machine learning methods for large data, such as methods for detecting anomalies and changes in high-dimensional data streams. I have also worked with nonparametric curve estimation, hierarchical modelling and Bayesian inference. My work is typically applied to data from genomics/molecular biology, and to sensor data streams from for example maritime industry. 

Tags: Statistics, Statistics and biostatistics, Machine Learning

Publications

  • Bertinelli Salucci, Clara; Bakdi, Azzeddine; Glad, Ingrid Kristine; Vanem, Erik & De Bin, Riccardo (2022). A novel semi-supervised learning approach for maritime lithium-ion battery monitoring. In Torelli, Nicola; BELLIO, RUGGERO & MUGGEO, VITO (Ed.), Proceedings of the 36th International Workshop on Statistical Modelling. EUT Edizioni Università di Trieste. ISSN 978-88-5511-309-0. p. 85–90. Full text in Research Archive
  • Olsen, Lars Henry Berge; Glad, Ingrid Kristine; Jullum, Martin & Aas, Kjersti (2022). Using Shapley Values and Variational Autoencoders to Explain Predictive Models with Dependent Mixed Features. Journal of machine learning research. ISSN 1532-4435. 23(213), p. 1–51.
  • Bertinelli Salucci, Clara; Bakdi, Azzeddine; Glad, Ingrid Kristine; Vanem, Erik & De Bin, Riccardo (2022). Multivariable Fractional Polynomials for lithium-ion batteries degradation models under dynamic conditions. Journal of Energy Storage. ISSN 2352-152X. 52. doi: 10.1016/j.est.2022.104903. Full text in Research Archive
  • Lingjærde, Camilla; Lien, Tonje Gulbrandsen; Borgan, Ørnulf; Bergholtz, Helga & Glad, Ingrid K. (2021). Tailored graphical lasso for data integration in gene network reconstruction. BMC Bioinformatics. ISSN 1471-2105. 22(1). doi: 10.1186/s12859-021-04413-z. Full text in Research Archive
  • Bakdi, Azzeddine; Glad, Ingrid Kristine & Vanem, Erik (2021). Testbed Scenario Design Exploiting Traffic Big Data for Autonomous Ship Trials Under Multiple Conflicts With Collision/Grounding Risks and Spatio-Temporal Dependencies . IEEE transactions on intelligent transportation systems (Print). ISSN 1524-9050. 22(12). doi: 10.1109/TITS.2021.3095547.
  • Engebretsen, Solveig & Glad, Ingrid Kristine (2020). Partially linear monotone methods with automatic variable selection and monotonicity direction discovery. Statistics in Medicine. ISSN 0277-6715. 39(25), p. 3549–3568. doi: 10.1002/sim.8680. Full text in Research Archive
  • Bakdi, Azzeddine; Glad, Ingrid Kristine; Vanem, Erik & Engelhardtsen, Øystein (2020). AIS-Based Multiple Vessel Collision and Grounding Risk Identification based on Adaptive Safety Domain. Journal of Marine Science and Engineering. ISSN 2077-1312. 8(1). doi: 10.3390/jmse8010005. Full text in Research Archive
  • Salvatore, Stefania; Rand, Knut Dagestad; Grytten, Ivar; Ferkingstad, Egil; Domanska, Diana & Holden, Lars [Show all 10 contributors for this article] (2019). Beware the Jaccard: the choice of similarity measure is important and non-trivial in genomic colocalisation analysis. Briefings in Bioinformatics. ISSN 1467-5463. p. 1–8. doi: 10.1093/bib/bbz083.
  • Engebretsen, Solveig & Glad, Ingrid Kristine (2019). Additive monotone regression in high and lower dimensions. Statistics Surveys. ISSN 1935-7516. 13, p. 1–51. doi: 10.1214/19-SS124. Full text in Research Archive
  • Grytten, Ivar; Rand, Knut Dagestad; Nederbragt, Alexander Johan; Storvik, Geir Olve; Glad, Ingrid Kristine & Sandve, Geir Kjetil (2019). Graph Peak Caller: Calling ChIP-seq peaks on graph-based reference genomes. PLoS Computational Biology. ISSN 1553-734X. 15(2), p. 1–13. doi: 10.1371/journal.pcbi.1006731. Full text in Research Archive
  • Brandsæter, Andreas; Vanem, Erik & Glad, Ingrid Kristine (2019). Efficient on-line anomaly detection for ship systems in operation. Expert Systems With Applications. ISSN 0957-4174. 121, p. 418–437. doi: 10.1016/j.eswa.2018.12.040. Full text in Research Archive
  • Lien, Tonje Gulbrandsen; Borgan, Ørnulf; Reppe, Sjur; Gautvik, Kaare M & Glad, Ingrid Kristine (2018). Integrated analysis of DNA-methylation and gene expression using high-dimensional penalized regression: a cohort study on bone mineral density in postmenopausal women. BMC Medical Genomics. ISSN 1755-8794. 11(24). doi: 10.1186/s12920-018-0341-2. Full text in Research Archive
  • Rand, Knut Dagestad; Grytten, Ivar; Nederbragt, Alexander Johan; Storvik, Geir Olve; Glad, Ingrid Kristine & Sandve, Geir Kjetil (2017). Coordinates and intervals in graph-based reference genomes. BMC Bioinformatics. ISSN 1471-2105. 18:263, p. 1–8. doi: 10.1186/s12859-017-1678-9. Full text in Research Archive
  • Brandsæter, Andreas; Vanem, Erik & Glad, Ingrid Kristine (2017). Cluster Based Anomaly Detection with Applications in the Maritime Industry. In Li, Chuan; de Oliveira, José Valente; Ding, Ping; Guo, Wei; Shi, Juanjuan & Bai, Yun (Ed.), Proceedings of the 2017 International Conference on Sensing, Diagnostics, Prognostics, and Control SDPC 2017. IEEE (Institute of Electrical and Electronics Engineers). ISSN 978-1-5090-4020-9. p. 328–333. doi: 10.1109/SDPC.2017.69. Full text in Research Archive
  • Reppe, Sjur; Lien, Tonje Gulbrandsen; Hsu, Yi-Hsiang; Gautvik, Vigdis Teig; Olstad, Ole Kristoffer & Yu, Rona [Show all 11 contributors for this article] (2017). Distinct DNA methylation profiles in bone and blood of osteoporotic and healthy postmenopausal women. Epigenetics. ISSN 1559-2294. 12(8), p. 674–687. doi: 10.1080/15592294.2017.1345832. Full text in Research Archive
  • Simovski, Boris; Vodak, Daniel; Gundersen, Sveinung; Domanska, Diana Ewa; Azab, Abdulrahman & Holden, Lars [Show all 25 contributors for this article] (2017). GSuite HyperBrowser: integrative analysis of dataset collections across the genome and epigenome. GigaScience. ISSN 2047-217X. 6(7), p. 1–12. doi: 10.1093/gigascience/gix032. Full text in Research Archive
  • Frigessi, Arnoldo; Buhlmann, Peter; Glad, Ingrid Kristine; Richardson, Sylvia & Vannucci, Marina (2016). Some themes in high-dimensional statistics. Abel Symposia. ISSN 2193-2808. 11, p. 1–13. doi: 10.1007/978-3-319-27099-9_1.
  • Brandsæter, Andreas; Manno, Gabriele; Vanem, Erik & Glad, Ingrid Kristine (2016). An Application of Sensor-Based Anomaly Detection in the Maritime Industry. In NA, NA (Eds.), 2016 IEEE International Conference on Prognostics and Health Management (ICPHM 2016). Curran Associates, Inc.. ISSN 9781509003839. doi: 10.1109/icphm.2016.7811910.
  • Solbergersen, LInn Cecilie; Ahmed, Ismail; Frigessi, Arnoldo; Glad, Ingrid Kristine & Richardson, Sylvia Therese Lamblin (2016). Preselection in Lasso-Type Analysis for Ultra-High Dimensional Genomic Exploration. Abel Symposia. ISSN 2193-2808. 11, p. 37–66. doi: 10.1007/978-3-319-27099-9_3.
  • Glad, Ingrid Kristine & Hjort, Nils Lid (2016). Model uncertainty first, not afterwards. Statistical Science. ISSN 0883-4237. 31(4), p. 490–494. doi: 10.1214/16-STS559. Full text in Research Archive
  • Antoniadis, Anestis; Glad, Ingrid Kristine & Mohammed, Hayat (2015). Local comparison of empirical distributions via nonparametric regression. Journal of Statistical Computation and Simulation. ISSN 0094-9655. 85(12), p. 2384–2405. doi: 10.1080/00949655.2014.929133.
  • Bergersen, Linn Cecilie; Tharmaratnam, Kukatharmini & Glad, Ingrid Kristine (2014). Monotone Splines Lasso. Computational Statistics & Data Analysis. ISSN 0167-9473. 77, p. 336–351. doi: 10.1016/j.csda.2014.03.013.
  • Sandve, Geir Kjetil; Gundersen, Sveinung; Johansen, Morten; Glad, Ingrid Kristine; Gunathasan, Krishanthi & Holden, Lars [Show all 21 contributors for this article] (2013). The Genomic HyperBrowser: an analysis web server for genome-scale data. Nucleic Acids Research (NAR). ISSN 0305-1048. 41(W1), p. W133–W141. doi: 10.1093/nar/gkt342. Full text in Research Archive
  • Paulsen, Jonas; Lien, Tonje Gulbrandsen; Sandve, Geir Kjetil; Holden, Lars; Borgan, Ørnulf & Glad, Ingrid Kristine [Show all 7 contributors for this article] (2013). Handling realistic assumptions in hypothesis testing of 3D co-localization of genomic elements. Nucleic Acids Research (NAR). ISSN 0305-1048. 41(10), p. 5164–5174. doi: 10.1093/nar/gkt227.
  • di Serio, C; Pellin, Danilo; ambrosi, alessandro; Glad, Ingrid Kristine & Frigessi, Arnoldo (2012). Biostatistics Meets Bioinformatics in Integrating Information from Highdimensional Heterogeneous Genomic Data: Two Examples from Rare Genetic Diseases and Infectious Diseases. In Biganzoli, E; Vellido, A; Ambrogi, F & Tagliaferri, R (Ed.), Computational Intelligence methods for bioinformatics and biostatistics. Springer. ISSN 978-3-642-35686-5. p. 10–20. doi: 10.1007/978-3-642-35686-5_2.
  • Sandve, Geir Kjetil; Gundersen, Sveinung; Rydbeck, Halfdan; Glad, Ingrid Kristine; Holden, Lars & Holden, Marit [Show all 15 contributors for this article] (2011). The differential disease regulome. BMC Genomics. ISSN 1471-2164. 12. doi: 10.1186/1471-2164-12-353.
  • Ambrosi, Alessandro; Glad, Ingrid Kristine; Pellin, Danilo; Cattoglio, Claudia; Mavilio, Fulvio & di serio, clelia [Show all 7 contributors for this article] (2011). Estimated Comparative Integration Hotspots Identify Different Behaviors of Retroviral Gene Transfer Vectors. PLoS Computational Biology. ISSN 1553-734X. 7(12). doi: 10.1371/journal.pcbi.1002292.
  • Bergersen, Linn Cecilie; Glad, Ingrid Kristine & Lyng, Heidi (2011). Weighted Lasso with Data Integration. Statistical Applications in Genetics and Molecular Biology. ISSN 1544-6115. 10(1). doi: 10.2202/1544-6115.1703.
  • Sandve, Geir Kjetil; Gundersen, Sveinung; Rydbeck, Halfdan; Glad, Ingrid Kristine; Holden, Lars & Holden, Marit [Show all 14 contributors for this article] (2010). The Genomic HyperBrowser: inferential genomics at the sequence level. Genome Biology. ISSN 1465-6906. 11(12). doi: 10.1186/gb-2010-11-12-r121. Full text in Research Archive
  • Lando, M; Holden, Marit; Bergersen, LC; Glad, Ingrid K; Kristensen, GB & Lyng, H [Show all 9 contributors for this article] (2009). Gene Dosage, Expression, and Ontology Analysis Identifies Driver Genes in the Carcinogenesis and Chemoradioresistance of Cervical Cancer. PLoS Genetics. ISSN 1553-7390. 5(11). doi: 10.1371/journal.pgen.1000719.
  • Nygaard, V; Liu, Fang; Holden, Marit; Kuo, Winston P.; Trimarchi, Jeff & Ohno-Machado, Lucila [Show all 12 contributors for this article] (2008). Validation of oligoarrays for quantitative exploration of the transcriptome. BMC Genomics. ISSN 1471-2164. 9. doi: 10.1186/1471-2164-9-258.
  • Glad, Ingrid Kristine; Hjort, Nils Lid & Ushakov, N. G. (2007). Mean-squared error of kernel estimators for finite values of the sample size. Journal of Mathematical Sciences. ISSN 1072-3374. 146(4), p. 5977–5983.
  • van de Wiel, Mark; Holden, Marit; Glad, Ingrid Kristine; Lyng, Heidi & Frigessi, Arnoldo (2006). Bayesian process-based modeling of two-channel microarray experiments estimating absolute mRNA concentrations. In Do, Kim-Anh; Müller, Peter & Vannucci, M. (Ed.), Bayesian Inference for Gene Expression and Proteomics. Cambridge University Press. ISSN 978-0-521-86092-5. p. 75–97.
  • Lingjærde, Ole Christian; Baumbusch, Lars Oliver; Liestøl, Knut; Glad, Ingrid Kristine & Børresen-Dale, Anne-Lise (2005). CGH-Explorer: a program for analysis of array-CGH data. Bioinformatics. ISSN 1367-4803. 21. doi: 10.1093/bioinformatics/bti113.
  • Frigessi, Arnoldo; van de Wiel, Mark; Holden, Marit; Svendsrud, Debbie H.; Glad, Ingrid Kristine & Lyng, Heidi (2005). Genome-wide estimation of transcript concentrations from spotted cDNA microarray data. Nucleic Acids Research (NAR). ISSN 0305-1048. 33(17). doi: 10.1093/nar/gni141.
  • Scheel, Ida; Aldrin, Magne; Glad, Ingrid Kristine; Sorum, Ragnhild; Lyng, Heidi & Frigessi, Arnoldo (2005). The influence of missing value imputation on detection of differentially expressed genes from microarray data. Bioinformatics. ISSN 1367-4803. 21(23), p. 4272–4279.
  • Kristensen, Vessela Nedelcheva ; Sorlie, Therese; Sørlie, Therese; Geisler, Jürgen; Geisler, E & Yoshimura, Noriko [Show all 14 contributors for this article] (2005). Effects of anastrozole on the intratumoral gene expression in locally advanced breast cancer. Journal of Steroid Biochemistry and Molecular Biology. ISSN 0960-0760. 95(1-5), p. 105–111. doi: 10.1016/j.jsbmb.2005.04.028.
  • Glad, Ingrid Kristine; Hjort, Nils Lid & Ushakov, N.G. (2003). Correction of Density Estimators that are not Densities. Scandinavian Journal of Statistics. ISSN 0303-6898. 30(2), p. 415–427.
  • Glad, Ingrid Kristine (1998). Parametrically guided nonparametric regression. Scandinavian Journal of Statistics. ISSN 0303-6898. 25(4), p. 649–668.
  • Glad, Ingrid Kristine (1998). A note on unconditional properties of a parametrically guided Nadaraya-Watson estimator. Statistics and Probability Letters. ISSN 0167-7152. 37(1), p. 101–108.
  • Chu, C. W.; Glad, Ingrid Kristine; Godtliebsen, F. & Marron, J.S. (1998). Edge preserving smoothers for image processing - Rejoinder. Journal of the American Statistical Association. ISSN 0162-1459. 93(442), p. 553–556.
  • Glad, Ingrid Kristine (1998). Bayesian projection of the acquired immune deficiency syndrome epidemic - Discussion. JRSS-C (Applied Statistics). 47(4).
  • Glad, Ingrid Kristine & Sebastiani, Giovanni (1995). A Bayesian approach to synthetic magnetic resonance imaging. Biometrika. ISSN 0006-3444. 82(2), p. 237–250.
  • Hjort, Nils Lid & Glad, Ingrid Kristine (1995). Nonparametric density estimation with a parametric start. Annals of Statistics. ISSN 0090-5364. 23(3), p. 882–904.
  • Glad, Ingrid Kristine (1994). Bayesian Prediction of MR Images. In Dutter, R. & Grossmann, W. (Ed.), Short Communications in Computational Statistics. Physica Verlag, Heidelberg. p. 59–60.
  • Glad, Ingrid Kristine & Krogstad, Harald E. (1992). The Maximum-Likelihood Property of Estimators of Wave Parameters from Heave, Pitch, and Roll Buoys. Journal of Atmospheric and Oceanic Technology. ISSN 0739-0572. 9(2), p. 169–173.

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  • Frigessi, Arnoldo; Bühlmann, Peter; Glad, Ingrid Kristine; Langaas, Mette; Richardson, Sylvia Therese Lamblin & Vannucci, Marina (2016). Statistical Analysis for High-Dimensional Data. Springer. ISBN 978-3-319-27097-5. 306 p.

View all works in Cristin

  • Glad, Ingrid Kristine (2022). dScience - Center for Computational and Data Science .
  • Glad, Ingrid Kristine (2022). Statistics for the Knowledge Economy.
  • Glad, Ingrid Kristine (2022). Data Science - a science, and a tool.
  • Glad, Ingrid Kristine (2022). dScience - en løypemelding.
  • Glad, Ingrid Kristine (2021). BigInsight - Center for Research Based Innovation.
  • Glad, Ingrid Kristine (2021). Hva er så stort med stordata?
  • Tveten, Martin; Brandsæter, Andreas & Glad, Ingrid Kristine (2017). Anomaly detection in maritime data streams.
  • Glad, Ingrid Kristine (2017). Kompetanseutfordringer knyttet til utnyttelse av stordata i offentlig sektor.
  • Glad, Ingrid Kristine (2017). Hunting high and low - Statistics for Big Data.
  • Glad, Ingrid Kristine (2017). Old bridge still standing.
  • Glad, Ingrid Kristine (2016). Skaper innovasjon i Data Science. [Internet]. Titan.no.
  • Glad, Ingrid Kristine (2016). I spissen for nye innovasjonsklynger. [Internet]. Titan.no.
  • Glad, Ingrid Kristine (2016). Brobygging mellom SFI-ene SIRIUS og BigInsight.
  • Glad, Ingrid Kristine (2016). Sensor Systems.
  • Glad, Ingrid Kristine (2016). Anomalies in multiple sensor series.
  • Glad, Ingrid Kristine (2016). Bridging SIRIUS and BigInsight.
  • Mogstad, Ekaterina; Kristoffersen, Anja Bråthen; Jansen, Peder A. & Glad, Ingrid Kristine (2016). Time to the first medical treatment of farmed salmon to control salmon lice, a survival analysis approach.
  • Frigessi, Arnoldo; Buhlmann, Peter; Glad, Ingrid Kristine; Langaas, Mette; Richardson, Sylvia Therese Lamblin & Vannucci, Marina (2016). Abel Symposia: Preface. Abel Symposia. ISSN 2193-2808. 11, p. vii–x.
  • Glad, Ingrid Kristine (2016). Hunting high and low.
  • Vanem, Erik; Glad, Ingrid Kristine & Storvik, Geir Olve (2016). Dynamical Linear Models for Condition Monitoring with Multivariate Sensor Data.
  • Glad, Ingrid Kristine (2015). Statistikeren som vil forstå verden - månedens forskerprofil. [Internet]. titan.uio.no.
  • Glad, Ingrid Kristine & Tharmaratnam, Kukatharmini (2015). Regression. In Engquist, Björn (Eds.), Encyclopedia of Applied and Computational Mathematics. Springer. ISSN 978-3-540-70528-4. p. 1225–1233.
  • Glad, Ingrid Kristine (2015). A highdimensional tribute to Trondheim.
  • Reppe, Sjur; Lien, Tonje Gulbrandsen; Olstad, Ole Kristoffer; Gautvik, Vigdis Teig; Glad, Ingrid Kristine & Gautvik, Kaare M (2015). Identification of Novel BMD Associated CpGs Using Integrated Genome-Wide Analyses Employing DNA Methylation and Transcript Levels in Bone Biopsies from Postmenopausal Women.
  • Mohammed, Hayat; Antoniadis, Anestis & Glad, Ingrid Kristine (2011). Local comparison of empirical densities via nonparametric regression.
  • Scheel, Ida; Aldrin, Magne; Glad, Ingrid Kristine; Sørum, R.; Lyng, Heidi & Frigessi, Arnoldo (2006). The influence of missing value imputation on the detection of differentially expressed genes from microarray data.
  • Glad, Ingrid Kristine (2005). Skivebom i dataanalyser. [Newspaper]. Computerworld.
  • Glad, Ingrid Kristine (2005). Daarlig dataanalyse kan koste dyrt. [Newspaper]. Apollon.
  • Scheel, Ida; Aldrin, Magne; Glad, Ingrid Kristine; Sørum, R.; Lyng, Heidi & Frigessi, Arnoldo (2005). The influence of missing value imputation on the detection of differentially expressed genes from microarray data.
  • Scheel, Ida; Aldrin, Magne; Glad, Ingrid Kristine; Sørum, Ragnhild; Lyng, Heidi & Frigessi, Arnoldo (2005). The influence of missing value imputation on the detection of differentially expressed genes from microarray data.
  • Glad, Ingrid Kristine (2005). Genomewide estimation of absolute transcript concentrations from spotted microarray data.
  • Glad, Ingrid Kristine (2004). Gud eksisterer (om bayesiansk statistikk). [Newspaper]. Dagbladet.
  • Glad, Ingrid Kristine (2003). Bayesiansk analyse av cDNA-mikromatrise-data.
  • Baumbusch, Lars; Lingjærde, Ole Christian; Liestøl, Knut; Glad, Ingrid Kristine; Pollack, John & Chin, K. [Show all 11 contributors for this article] (2003). A comparison of BAC- and cDNA-arrays for the detection of copy number alterations in human breast tumors.
  • Baumbusch, Lars; Lingjærde, Ole Christian; Liestøl, Knut; Glad, Ingrid Kristine; Pollack, John & Chin, K. [Show all 11 contributors for this article] (2003). A comparison of BAC- and cDNA-arrays for the detection of copy number alterations in human breast tumors.
  • Glad, Ingrid Kristine (2002). Towards a comprehensive statistical model for cDNA microarray experiments.
  • Glad, Ingrid Kristine (2002). Towards a comprehensive statistical model of cDNA microarray experiments.
  • Glad, Ingrid Kristine (2001). Nonparametric density estimation using the sinc kernel: finite sample analysis.
  • Glad, Ingrid Kristine (2000). Å se på ting vi ikke kan se.
  • Glad, Ingrid Kristine (2000). Å se på ting vi ikke kan se.
  • Glad, Ingrid Kristine (1999). Book Review (Lindsey, J.K.: Introductory Statistics: A Modelling Approach). Statistics in Medicine. ISSN 0277-6715. 18, p. 759–759.
  • Glad, Ingrid Kristine (1998). Aa regne med AIDS.
  • Glad, Ingrid Kristine (1998). Bayesian back-calculation with HIV seropositivity notifications.
  • Glad, Ingrid Kristine (1998). Edge preserving M-smoothing.
  • Glad, Ingrid Kristine (1998). Using HIV seropositivity notifications in back-calculation for the AIDS epidemic.
  • Glad, Ingrid Kristine (1996). Brev fra Roma: veni, vidi,... vici? Tilfeldig gang. ISSN 0803-8953. 13(4).
  • Tveten, Martin; Glad, Ingrid Kristine & Hjort, Nils Lid (2021). Scalable change and anomaly detection in cross-correlated data. Universitetet i Oslo. Full text in Research Archive
  • Holden, Marit; Glad, Ingrid Kristine; Hauge, Håvard Hildeng; Hovig, Eivind & Liestøl, Knut (2012). Image restoration and analysis of biomolecular radioactivity images II. Norsk Regnesentral.
  • Holden, Marit; Glad, Ingrid Kristine; Hauge, Håvard Lilledalen & Liestøl, Knut (2008). Image restoration and analysis of biomolecular radioactivity images. Norsk Regnesentral.
  • Frigessi, Arnoldo; Van der Wiel, Mark; Holden, Marit; Glad, Ingrid Kristine; Lyng, Heidi & Wiel, Mark A. van de [Show all 7 contributors for this article] (2004). Model-based estimation of transcript concentrations from spotted microarray data. Norsk Regnesentral. ISSN 82-539-0507-6.
  • Glad, Ingrid Kristine; Hjort, Nils Lid & Ushakov, N.G. (1999). Density estimation using the sinc kernel. Department of Mathematics, Univ. of Oslo. ISSN 82-553-1216-1.
  • Glad, Ingrid Kristine; Hjort, Nils Lid & Ushakov, N.G. (1999). Correction of density estimators which are not densities. Department of Mathematics, Univ. of Oslo. ISSN 82-553-1214-5.
  • Glad, Ingrid Kristine; Balducci, M.; Tomba, G. Scalia ; Frigessi, A. & Pezzotti, P. (1998). Bayesian backcalculation with HIV seropositivity notifications. Department of Mathematics, Univ. of Oslo. ISSN 82-553-1128-9.
  • Hjort, Nils Lid & Glad, Ingrid Kristine (1996). Exact performance of a semiparametric density estimator for normal mixture truths. Department of Mathematics, Univ. of Oslo. ISSN 82-553-1029-0.
  • Glad, Ingrid Kristine (1996). A note on unconditional properties of a parametrically guided Nadaraya-Watson estimator. Department of Mathematics, Univ. of Oslo. ISSN 82-553-1060-6.
  • Glad, Ingrid Kristine (1996). Parametrically guided nonparametric regression. Department of Mathematics, Univ. of Oslo. ISSN 82-553-1059-2.
  • Glad, Ingrid Kristine (1995). Contributions to nonparametric function estimation and Bayesian image analysis. Norges Tekniske Hoeyskole NTH. ISSN 82-7119-806-8.
  • Hjort, Nils Lid & Glad, Ingrid Kristine (1994). Nonparametric Density Estimation With a Parametric Start. Department of Mathematics, Univ. of Oslo. ISSN 82-553-0885-7.

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Published Nov. 30, 2010 11:20 PM - Last modified Sep. 20, 2022 1:29 PM

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